Phase limitations of multipliers at harmonics
Abstract
We present a phase condition under which there is no suitable multiplier for a given continuous-time plant. The condition can be derived from either the duality approach or from the frequency interval approach. The condition has a simple graphical interpretation, can be tested in a numerically efficient manner and may be applied systematically. Numerical examples show significant improvement over existing results in the literature. The condition is used to demonstrate a third order system with delay that is a counterexample to the Kalman Conjecture.
I Introduction
The continuous-time OZF (O’Shea-Zames-Falb) multipliers were discovered by O’Shea [1] and formalised by Zames and Falb [2]. They preserve the positivity of monotone memoryless nonlinearities. Hence they can be used, via loop transformation, to establish the absolute stability of Lurye systems with slope-restricted memoryless nonlinearities. An overview is given in [3].
Recent interest is largely driven by their compatability with the integral quadratic constraint (IQC) framework of Megretski and Rantzer [4] and the availability of computational searches [5, 6, 7, 8, 9, 10, 11, 12, 13]. A modification of the search proposed in [8] is used in the Matlab IQC toolbox [14] and analysed by Veenman and Scherer [15].
No single search method outperforms the others, and often a hand-tailored search outperforms an automated search [13]. This motivates the analysis of conditions where a multiplier cannot exist. There are two main approaches in the literature. Jönsson and Laiou [16] give a condition that must be satisfied at a number of isolated frequencies. Their result is a particular case of a more general analsysis based on duality in an optimization framework [17, 18, 19]; we will refer to this as the “duality approach.” Their result requires a non-trivial search over a finite number of parameters. By contrast Megretski [20] gives a threshold such that the phase of a multiplier cannot be simultaneously above the threshold over a certain frequency interval and below its negative value on another. The idea is generalised in [21], where in particular the threshold for the second interval is allowed to have a different value. We will refer to this as the “frequency interval approach.” Both the duality approach and the frequency interval approach lead to powerful and useful results, but neither allows a systematic approach. With respect to the duality approach Jönsson states [17] “it is in most applications hard to find a suitable frequency grid for the application of the results.” With respect to the interval approach, in [21] we conclude that the most insightful choice of interval remains open.
In this paper we present a simple phase condition on two frequencies whose ratio is rational. The condition can be be tested systematically. At each frequency ratio the condition leads to a graphical criterion similar to the off-axis circle criterion [22] in that it can be expressed as a bound on the phase of a transfer function. We derive the condition via the duality approach, but we also show that it is equivalent to a limiting case of the frequency interval approach. We illustrate the criterion on three examples: we show it gives a significantly better results for the numerical example in [16]; we show it gives new bounds for the gain with O’Shea’s classical example [1, 3]; we provide an example of a third order transfer function with delay that does not satisfy the Kalman Conjecture.
The structure of this paper as follows. Section II provides the necessary background material and includes the following minor contribution: Theorems‘1a and 1b provide frequency conditions similar in spirit to the duality approach of [16], but more widely applicable; specifically the conditions allow both the system transfer function and the multiplier to be irrational. The main results of the paper are presented in Section III. Theorems 3a and 3b give a phase condition that has a simple graphical interpretation and can be implemented systematically. We prove Theorems 3a and 3b via the duality approach. We discuss both the graphical interpretation and the numerical implementation of Theorems 3a and 3b. In Section IV we show that the results can also be derived via the frequency interval approach: Corollaries 2a and 2b provide a version of the interval approach [21] for the limiting case where the length of interval goes to zero; Theorems 4a and 4b state these corollaries are respectively equivalent to Theorems 3a and 3b. Section V includes three examples: the first shows we achieve improved results over those reported in [16]; the second is the benchmark problem of O’Shea[1] where we obtain improved results over those reported in [21]; finally, in the third, we show that a third order with delay system provides a counterexample to the Kalman Conjecture. All proofs, where not immediate, are given in the Appendix.
II Preliminaries
II-A Multiplier theory
We are concerned with the input-output stability of the Lurye system given by
(1) |
Let be the space of finite energy Lebesgue integrable signals and let be the corresponding extended space (see for example [23]). The Lurye system is said to be stable if implies .
The Lurye system (1) is assumed to be well-posed with linear time invariant (LTI) causal and stable, and with memoryless and time-invariant. With some abuse of notation we will use to denote the transfer function corresponding to . The nonlinearity is assumed to be montone in the sense that for all . It is also assumed to be bounded in the sense that there exists a such that for all . We say is slope-restricted on if for all . We say is odd if whenever .
Definition 1.
Let be LTI. We say is a suitable multiplier for if there exists such that
(2) |
Remark 1.
Suppose is a suitable multiplier for and for some and . Then . Similarly if then .
Definition 2a.
Let be the class of LTI whose implulse response is given by
(3) |
with
(4) |
Definition 2b.
Let be the class of LTI whose implulse response is given by (3) with
(5) |
Remark 2.
.
The Lurye system (1) is said to be absolutely stable for a particular if it is stable for all in some class . In particular, if there is a suitable for then it is absolutely stable for the class of memoryless time-invariant monotone bounded nonlinearities; if there is a suitable for then it is absolutely stable for the class of memoryless time-invariant odd monotone bounded nonlinearities. Furthermore, if there is a suitable for then it is absolutely stable for the class of memoryless time-invariant slope-restricted nonlinearities in ; if there is a suitable for then it is absolutely stable for the class of memoryless time-invariant odd slope-restricted nonlinearities [2, 3].
II-B Other notation
Let denote modulo the interval : i.e. the unique number such that there is an integer with .
II-C Duality approach
The following result is similar in spirit to that in [16] where a proof is sketched for the odd case. Both results can be derived from the duality theory of Jönsson [17, 18, 19]; see [24] for the corresponding derivation in the discrete-time case. Nevertheless, several details are different. In particular, in [16] only rational plants and rational multipliers are considered; this excludes both plants with delay and so-called “delay multipliers.” Expressing the results in terms of single parameter delay multipliers also gives insight. We exclude frequencies and ; it is immediate that we must have ; by contrast need not be well-defined in our case.
Definition 3.
Define the single parameter delay multipliers and as and with . Let be the set . Let be the set .
Theorem 1a.
Let be causal, LTI and stable. Assume there exist , and non-negative , where , such that
(6) |
Then there is no suitable for .
Theorem 1b.
Let be causal, LTI and stable. Assume, in addition to the conditions of Theorem 1a, that
(7) |
Then there is no suitable for .
Remark 3.
The observation is made in [7] that by the Stone-Weirstrass theorem it is sufficient to characterise in terms of delay multipliers: i.e. as the class of LTI whose impulse response is given by
(8) |
with
(9) |
Similarly can be characterised as the class of LTI whose impulse response is given by
(10) |
with
(11) |
Such delay multipliers are excluded entirely from [16], but in this sense both Theorems 1a and 1b follow almost immediately.
II-D Frequency interval approach
In [21] we presented the following phase limitation for the frequency intervals and .
Theorem 2a ([21]).
Let and define
(12) |
with
(13) |
and with and satisfying
(14) |
and . Let be an OZF multiplier and suppose
(15) |
and
(16) |
for some . Then if .
III Main results: duality approach
Applying Theorem 1a or 1b with yields no significant result beyond the trivial statement that if and at any then there can be no suitable multiplier. This is in contrast with the discrete-time case where there are non-trivial phase limitations at single frequencies [24].
Even with , it is not straightforward to apply Theorems 1a or 1b directly, as they require an optimization at each pair of frequencies. Nevertheless, setting yields the following phase limitations:
Theorem 3a.
Let and let be causal, LTI and stable. If there exists such that
(21) |
with then there is no suitable for .
Theorem 3b.
Let and let be causal, LTI and stable. If there exists such that (21) holds where when both and are odd but if either or are even, then there is no suitable for .
Figs 1 and 2 illustrate Theorems 3a and 3b respectively for the specific case that for some frequency . The results put limitations on the phase of at frequencies that are rational multiples of (i.e. at where and where and are coprime integers).


The results may also be expressed as phase limitations on the multipliers themselves. Counterparts to Theorems 3a and 3b follow as corollaries and are equivalent results.
Corollary 1a.
Let and let . Then
(22) |
for all with .
Corollary 1b.
Let and let . Then inequality (22) holds for all where when both and are odd but if either or are even.
Proof.
Immediate: see Remark 1. ∎
Figs 3 and 4 are the counterparts to Figs 1 and 2 (if the phase of is greater than at some then any suitable multiplier must have phase less than at ). Corollaries 1a and 1b can also be visualised for specific values of and with plots of the phase of against the phase of as varies: see Figs 5 to 7. Fig 5 also shows boundary points parameterised by which is associated with the frequency interval apprach and discussed in Section IV.





The bounds are tight in the sense that if and are coprime then there exist (many) such that . Specifically this holds for any that satisfies and . Similarly if and are coprime and either or are even there exist (many) such that . Specifically this holds for any that satisfies and .
In the examples below the phases of the objects and are computed separately. They should each have phase on the interval and so may be easily computed without the possibility of phase wrapping ambiguity at local points or over local regions. Provided the transfer functions are sufficiently smooth they can be computed accurately. Nevertheless, it is possible to write (21) in terms of a single transfer function since
(23) |
where
(24) |
It thus requires, for given values of and , the computation of the maximum (or minimum) phase of a single transfer function. In this sense the computational requirement is comparable to that of the off-axis circle criterion [22], a classical tool.
It may also be necessary to compute the criterion for several positive integer values of and . The number of different values is finite and can be bounded. Suppose the maximum phase of is and the minimum phase is , where . Then . So it is sufficient to choose (say) all and which yields a finite set of values.
IV Relation to the frequency interval approach
Corollaries 1a and 1b may be interpreted as saying that given an upper (or lower) threshold on the phase of a suitable multiplier at frequency there is a lower (or upper) threshold on the phase on at frequency . It is natural to compare this with the frequency interval approach, where an upper (or lower) threshold on the phase of over an interval implies a lower (or upper) threshold on the phase of over the interval .
Let us begin by considering Theorems 2a and 2b in the limit as the length of the intervals becomes zero. We obtain the following corollaries. The results requires the ratio of the limiting frequencies to be rational.
Corollary 2a.
For , define
(25) |
where and are coprime and . Define also
(26) |
Let be an OZF multiplier and suppose
(27) |
and
(28) |
for some and . Then if .
Corollary 2b.
Remark 4.
Equivalently, we can say if and then if and if .
V Examples
We demonstrate the new condition with three separate examples. In Examples 1 and 2 below we test the criterion for a finite number of coprime integers and , and for all ; we also search over the slope restriction . We run a bisection algorithm for and, for each candidate value of , and , check whether the condition is satisfied for any . Provided the phase of is sufficiently smooth, this can be implemented efficiently and systematically, for example by gridding sufficiently finely. There are several possible ways to reorder the computation.
V-A Example 1
Jönsson and Laiou [16] consider the plant
(31) |
with and and with positive feedback. They show that the rational multliper
(32) |
is suitable for when . Figure 8 shows the phase of when . It can be seen to lie on the interval . They also show no rational multiplier in exists when by applying their criterion with and the choice and . Fig 9 shows when . It can be seen that the value drops below near . Thus Theorem 3a confirms there is no suitable multipler in either or .
Jönsson and Laiou [16] state ‘the choice of frequencies […] is a delicate task.”’ But a simple line search shows that there is an such that when (see Fig 10) but for all when . By Theorem 3a there is no multiplier when . By contrast, for this case the choice
(33) |
is a suitable multiplier when (Fig 11). The various computed slopes are set out in Table I.




[16] | This paper | |
---|---|---|
Slope for which a multiplier | ||
is found | 0.0048 | 0.0058924 |
Slope for which there is | ||
guaranteed to be no multiplier | 0.0061 | 0.0058926 |
V-B Example 2
Consider the plant
O’Shea [1] shows that there is a suitable multiplier in for when and . By contrast in [21] we showed that there is no suitable multiplier in when and is sufficiently large. Specifically the phase of is above on the interval and below on the interval . A line search yields that the same condition is true for the phase of with (see Fig 12). Hence there is no suitable multipler for with .
By contrast, Theorem 3a with and yields there is no suitable multipler for with . Specifically the phase exceeds when (see Figs 13 and 14). Similarly, Theorem 3b with and yields there is no suitable multipler for with . Specifically the phase exceeds when .
These results show a non-trivial improvement over those in [21]. While it should be possible to achieve identical results using either the condition of [16] or that of [21] (see Appendix), the conditions of Theorems 3a and 3b can be applied in a systematic manner. Fig 15 shows the bounds for several other values of while Fig 16 shows the value of yielding the lowest bound for each test (the value of is for each case).





V-C Example 3
In [21] we argue that phase limitatons are closely linked to the Kalman Conjecture. This plays an important role in the theory of absolute stability for Lurye systems. Barabanov [25] shows it to be true for third-order systems via a subclass of the OZF multipliers but fourth-order counterexamples are known [26, 27]. It is trivial that negative imaginary systems satisfy the Kalman Conjecture [28]. In [29] we indicate via the tailored construction of OZF multipliers that second-order systems with delay satisfy the Kalman Conjecture. Until now it has remained an open question whether third-order systems with delay satisfy the Kalman Conjecture.
Consider the third-order system with delay that has transfer function
(34) |
The Nyquist gain is . That is to say for all the sensitivity function is stable. Fig. 17 shows against frequency. The value drops significantly below , and hence by Theorem 3a there is no suitable for . The phases of and of are superimposed. Fig. 18 shows a time response of a Lurye system with gain , a step input at time and simple saturation. The response appears to be periodic. The stable linear response (i.e. without saturation) is superimposed. These results indicate that this is a (first) example of a third order plant with delay which does not satisfiy the Kalman Conjecture.


VI Conclusion
We have presented a simple graphical test that can rule out the existence of suitable OZF multipliers. The test can be implemented efficiently and systematically. The graphical interpretations provide considerable insight to the frequency behaviour of the OZF multipliers. Results show significantly improved results over those in the literature. The test can be derived either from the duality approach [16, 17, 18, 19] or from the frequency interval approach [20, 21].
Guaranteeing there is no suitable OZF multiplier does not necessarily imply a Lurye system is not absolutely stable, although we have conjectured this to be the case [3, 21]. Kong and Su [30] show that the implication is true with a wider class of nonlinearity; for this case the results of this paper may be applied directly. For the discrete-time case, Seiler and Carrasco [31] provide a construction, for certain phase limitations, of a nonlinearity within the class for which the discrete-time Lurye system has a periodic solution. However the conjecture remains open for both continuous-time and discrete-time systems.
More generally results for discrete-time systems are quite different. For discrete-time systems an FIR search for multipliers is effective and outperforms others [32]. With the interval approach it is possible to find a nontrivial threshold such that the phase of a multiplier cannot be above the threshold over a certain frequency inteval [21]. The duality approach leads to both a simple graphical test at simple frequencies and a condition at multiple frequencies that can be tested by linear program [33].
This paper’s results are for continuous-time single-input single-output multipliers of [2]. Although multivariable extensions of the OZF multipliers are considered in the literature [34, 35, 36, 37, 38], it remains open what restrictions there might be. Similarly more general nonlinearities can be addressed with a reduced subset of the OZF multipliers [39, 40, 41, 42] and the analysis of this paper might be generalised to such cases. It also remains open whether a systematic procedure can be found with more points or intervals.
[Proofs]
-A Proofs of Theorems 1a and 1b
Proof of Theorem 1a.
Let take the form of Definition 2a. Then
(35) |
where
(36) |
and
(37) |
Suppose the conditions of Theorem 1a hold. Then, by (6),
(38) |
In addition, we can write (6) as
(39) |
Averaging this expression over yields
(40) |
(41) |
This, with (-A), yields
(42) |
(43) |
It follows from Definition 1 that is not suitable for . ∎
Proof of Theorem 1b.
Let take the form of Definition 2b. Define and . Then
(44) |
where this time
(45) |
Suppose the conditions of both Theorem 1a and 1b hold. Then (6) and (7)) yield (38) as before, but with given by (45). Furthermore, we can write (6) and (7) together as
(46) |
Since (40) still holds, from (45), (46) and (40) we obtain
(47) |
Together (38) and (-A) yield (43) as before. It follows from Defintion 1 that is not suitable for . ∎
-B Proof of Theorems 3a and 3b
In the following we apply Theorems 1a and 1b with . Furthermore, we assume is rational, i.e. that there is some and integers and such that either and or and . We begin with two technical lemmas.
Lemma 1a.
Let and be coprime positive integers and
(48) |
with and . Then
(49) |
provided
(50) |
with .
Lemma 1b.
Let and be coprime positive integers and
(51) |
with and . Then
(52) |
provided (50) holds with when and are both odd and when either or is even.
Proof of Lemma 1a.
The term is only positive when . Similarly the term is only positive when . When there is no such that and are simultaneously positive. Specifically, suppose is a frequency such that and for some integers and . Then . This cannot be the case with ; when and are coprime then it can be satisfied with provided and are chosen such that .
Hence, with , it suffices to show that when , i.e. on the intervals . A similar argument will follow by symmetry for intervals where .

Consider first the interval . We have
(53) |
But
(54) |
Hence
(55) |
Since if follows that on the interval .

Consider next the interval . By symmetry on this interval. Since on this interval we must have on this same interval. Hence on the interval .
Similar arguments follow: firstly on the intervals where and ; secondly on the intervals where and . ∎
Proof of Lemma 1b.
The term is only positive when . Similarly the term is only positive when . Let us consider conditions for which they are simultaneously positive. Suppose is a frequency such that and for some integers and . Then . If and are both odd, then is even and hence this can only be true when . By contrast, if either or is even (but not both, as they are coprime) then is odd and we can choose when .
It then follows that for all by an argument similar to that in the proof of Lemma 1a.


∎
Proof of Theorem 3a.
Without loss of generality suppose and are coprime, and consider the case where . Put
(56) |
and
(57) |
so that (21) holds. Immediately we have
(58) |
Theorem 1a then states that if there exist non-negative , with , such that
(59) |
then there is no suitable for .
If we set we can write this for all with
(60) |
∎
Proof of Theorem 3b.
As with Theorem 3a, suppose without loss of generality that and are coprime, and consider the case where . Let and be given by (-B) with (57) so that (21) holds. Theorem 1b then states that if there exist non-negative , with , such that (-B) holds and in addition
(63) |
then there is no suitable for .
For condition (-B) the analysis is the same as for Theorem 3a; hence we require . We can write condition (-B) as for all with
(64) |
with (57). As before, choose and according to (61). Then
(65) |
with and given by (51). Hence by Lemma 1b for all when if both and are odd and when if either or are even.
∎
-C Proofs of Corollaries 2a and 2b
Proof of Corollary 2a.
Without loss of generality let . The result follows by setting the intervals
(66) |
with and taking the limit as . Specifically we find
(67) |
with . Hence
(68) |
∎
Proof of Corollary 2b.
In addition
(69) |
and hence
(70) |
∎
-D Proof of Theorems 4a and 4b
Proof of Theorem 4a.
Consider on . Since is periodic it suffices to consider the interval . Define
(71) |
We will show that for each all turning points of are bounded by and that at least one turning point touches the bounds. This is sufficient to establish the equivalence between Corollary 2a and Corollary 1a, which is in turn equivalent to Theorem 3a.
The turning points of occur at the same values of as the turning points of . Specifically
(72) |
When the derivative of is given by
(73) |
with
(74) |
On the interval with the derivatives of both and are zero when either or . We consider the two cases separately. In both cases we use the identity
(75) |
- Case 1
-
Suppose satisfies . At these values
(76) and
(77) Hence if we define
(78) for we find for all satisfying The function is piecewise constant, taking values with . On each piecewise constant interval there is a satisfying . Hence these turning points of lie within the bounds with at least one on the bound.
Figure 23: Phase functions (blue), (red) and (green) with and . The turning points of where take the value with an integer. The function is piecewise constant and takes these same values. The turning points of where take the values of , whose bounds are also shown. - Case 2
-
Define
(79) and
(80) Then and for all satisfying . It follows that for all such where
(81) With some abuse of notation, write ; i.e. consider as a function of . We find
(82) Hence . Furthermore
(83) Hence it suffices to show
(84) If both and are both greater than 1 then this is immediate, since in this case . Hence it suffices to show
(85) or equivalently, with , that
(86) We can quickly check
(87)
∎
Proof of Theorem 4b.
The proof is similar to that for Theorem 4a. We have already established appropriate bounds for . If we define
(88) |
then we need to show it is also bounded appropriately. Similar to the previous case, the turning points of occur at the same values of as the turning points of . When the derivative of is given by
(89) |
with
(90) |
We will consider the cases and separately. This time we use the identity
(91) |
- Case 1
-
Suppose satisfies . Then
(92) and
(93) Hence if we define
(94) for we find for all satisfying . The function is piecewise constant, taking values with when either or are even, and values with when and are both odd. On each piecewise constant interval there is a satisfying . Hence these turning points of lie within the bounds (if either or even) or (if and both odd) with at least one on the bound.
Figure 24: Phase functions (blue), (red) and (green) with and . The turning points of where take the value with an integer. The function is piecewise constant and takes these same values. The turning points of where take the values of , whose bounds are also shown. - Case 2
-
Define
(95) and
(96) Then and for all satisfying . It follows that for all such where is given by (81). As we have the same bounds as before, the previous analysis establishes that these turning points lie within the bounds.
∎
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William P. Heath received an M.A. in mathematics from the University of Cambridge, U.K. and both an M.Sc. and Ph.D. in systems and control from the University of Manchester Institute of Science and Technology, U.K. He is Chair of Feedback and Control with the Control Systems Centre and Head of the Department of Electrical and Electronic Engineering, University of Manchester, U.K. Prior to joining the University of Manchester, he worked at Lucas Automotive and was a Research Academic at the University of Newcastle, Australia. His research interests include absolute stability, multiplier theory, constrained control, and system identification. |
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Joaquin Carrasco is a Reader at the Control Systems Centre, Department of Electrical and Electronic Engineering, University of Manchester, UK. He was born in Abarán, Spain, in 1978. He received the B.Sc. degree in physics and the Ph.D. degree in control engineering from the University of Murcia, Murcia, Spain, in 2004 and 2009, respectively. From 2009 to 2010, he was with the Institute of Measurement and Automatic Control, Leibniz Universität Hannover, Hannover, Germany. From 2010 to 2011, he was a research associate at the Control Systems Centre, School of Electrical and Electronic Engineering, University of Manchester, UK. His current research interests include absolute stability, multiplier theory, and robotics applications. |
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Jingfan Zhang received the B.Eng. degree in electrical engineering and its automation from Xi’an Jiaotong-Liverpool University, Suzhou, China, in 2015, and the M.Sc. degree in advanced control and systems engineering from the University of Manchester, Manchester, U.K., in 2016. He is currently working toward the Ph.D. degree with the Department of Electrical and Electronic Engineering, University of Manchester, Manchester, U.K. His research interests include absolute stability and applications of control theory in robotics. |