The Kalman–Yakubovich–Popov lemma is a result in
system analysis
System analysis in the field of electrical engineering characterizes electrical systems and their properties. System analysis can be used to represent almost anything from population growth to audio speakers; electrical engineers often use it b ...
and
control theory
Control theory is a field of mathematics that deals with the control of dynamical systems in engineered processes and machines. The objective is to develop a model or algorithm governing the application of system inputs to drive the system to a ...
which states: Given a number
, two n-vectors B, C and an n x n
Hurwitz matrix In mathematics, a Hurwitz matrix, or Routh–Hurwitz matrix, in engineering stability matrix, is a structured real square matrix constructed with coefficients of a real polynomial.
Hurwitz matrix and the Hurwitz stability criterion
Namely, given a ...
A, if the pair
is completely
controllable Controllability is an important property of a control system, and the controllability property plays a crucial role in many control problems, such as stabilization of unstable systems by feedback, or optimal control.
Controllability and observabil ...
, then a symmetric matrix P and a vector Q satisfying
:
:
exist if and only if
:
Moreover, the set
is the unobservable subspace for the pair
.
The lemma can be seen as a generalization of the
Lyapunov equation In control theory, the discrete Lyapunov equation is of the form
:A X A^ - X + Q = 0
where Q is a Hermitian matrix and A^H is the conjugate transpose of A.
The continuous Lyapunov equation is of the form
:AX + XA^H + Q = 0.
The Lyapunov equation o ...
in stability theory. It establishes a relation between a
linear matrix inequality
In convex optimization, a linear matrix inequality (LMI) is an expression of the form
: \operatorname(y):=A_0+y_1A_1+y_2A_2+\cdots+y_m A_m\succeq 0\,
where
* y= _i\,,~i\!=\!1,\dots, m/math> is a real vector,
* A_0, A_1, A_2,\dots,A_m are n\times n ...
involving the
state space
A state space is the set of all possible configurations of a system. It is a useful abstraction for reasoning about the behavior of a given system and is widely used in the fields of artificial intelligence and game theory.
For instance, the t ...
constructs A, B, C and a condition in the
frequency domain
In physics, electronics, control systems engineering, and statistics, the frequency domain refers to the analysis of mathematical functions or signals with respect to frequency, rather than time. Put simply, a time-domain graph shows how a ...
.
The Kalman–Popov–Yakubovich lemma which was first formulated and proved in 1962 by
Vladimir Andreevich Yakubovich
Vladimir Andreevich Yakubovich (October 21, 1926 in Novosibirsk – August 17, 2012 in the Gdov region) was a notable Russian control theorist and head of the Department of Theoretical Cybernetics at Saint Petersburg State University (formerl ...
where it was stated that for the strict frequency inequality. The case of nonstrict frequency inequality was published in 1963 by
Rudolf E. Kálmán
Rudolf Emil Kálmán (May 19, 1930 – July 2, 2016) was a Hungarian-American electrical engineer, mathematician, and inventor. He is most noted for his co-invention and development of the Kalman filter, a mathematical algorithm that is widel ...
.
In that paper the relation to solvability of the Lur’e equations was also established. Both papers considered scalar-input systems. The constraint on the control dimensionality was removed in 1964 by Gantmakher and Yakubovich and independently by
Vasile Mihai Popov. Extensive review of the topic can be found in.
Multivariable Kalman–Yakubovich–Popov lemma
Given
with
for all
and
controllable, the following are equivalent:
- for all
:
- there exists a matrix such that and
:
The corresponding equivalence for strict inequalities holds even if
is not controllable.
References
{{DEFAULTSORT:Kalman-Yakubovich-Popov Lemma
Lemmas
Stability theory
B. Brogliato, R. Lozano, M. Maschke, O. Egeland, ''Dissipative Systems Analysis and Control'', Springer Nature Switzerland AG, 3rd Edition, 2020 (chapter 3, pp.81-262), ISBN 978-3--030-19419-2