Non-linear control is a sub-division of control engineering which deals with the control of non-linear systems. Non-linear systems are those systems whose input-output behaviour is very much unpredictable. For linear systems, we have a lot of well-established control techniques like root-locus, Bode plot, Nyquist criterion, state-feedback, pole-placement etc.

Contents

1 Properties of non-linear systems 2 Analysis and control of non-linear systems 3 The Lur'e Problem 3.1 Absolute stability problem 3.2 Popov Criterion 4 References 5 See also

Properties of non-linear systems

• They do not follow the principle of superposition (linearity and homogenity).
• They may have multiple isolated equilibrium points.
• They exhibit properties like limit-cycle, bifurcation, chaos.
• For a sinusoidal input, the output signal may contain many harmonics and sub-harmonics with various amplitudes and phase differences. While for a linear system, we know that for u= A sin(ωt), output y = B sin(ωt+ φ).

Analysis and control of non-linear systems

• Describing function method
• Phase plane method
• Lyapunov based methods
• Input-output stability
• Feedback linearization
• Back-stepping
• Sliding mode control
• Singular Perturbation

The Lur'e Problem

In this section, we will study the stability of an important class of control systems namely feedback systems whose forward path contains a linear time-invariant subsystem and whose feedback path contains a memory-less and possibly time-varying non-linearity. This class of problem is named for A. I. Lur'e.

The linear part is characterized by four matrices (A,B,C,D). The non-linear part is Φ ∈ [a,b], a<b, is a sector non-linearity.

Absolute stability problem

Given that

1. (A,B) is controllable and (C,A) is observable
2. two real numbers a,b with a<b.

The problem is to derive conditions involving only the transfer matrix H(.) and the numbers a,b, such that x=0 is a globally uniformly asymptotically stable equilibrium of the system (1)-(3) for every function Φ ∈ [a,b]. This is also known as Lure's problem.

We will discuss two main theorems concerning Lure's problem.

• The Circle Criterion
• The Popov Criterion.

Popov Criterion

The class of systems studied by Popov is described by

<math>

\begin{matrix} \dot{x}&=&Ax+bu \\ \dot{\xi}&=&u \\ y&=&cx+d\xi \quad (1) \end{matrix} <math>

<math> u = -\phi (y) \quad (2) <math>

where x ∈ Rⁿ, ξ,u,y are scalars and A,b,c,d have commensurate dimensions. The non-linear element Φ: R → R is a time-invariant nonlinearity belonging to open sector (0, ∞). This means that

Φ(0) = 0, y Φ(y) > 0, ∀ y ≠ 0; (3)

The transfer function from u to y is given by

<math> h(s) = \frac{d}{s} + c(sI-A)^{-1}b \quad \quad (4)<math>

Things to be noted

• Popov criterion is applicable only to autonomous systems.
• The system studied by Popov has a pole at the origin and there is no throughput from input to output.
• Non-linearity Φ belongs to a open sector.

Theorem: Consider the system (1) and (2) and suppose

1. A is Hurwitz
2. (A,b) is controllable
3. (A,c) is observable
4. d>0 and
5. Φ ∈ (0,∞)

then the above system is globally asymptotically stable if there exists a number r>0 such that
inf_{ω ∈ R} Re[(1+jωr)h(j&omega)] > 0

References

• A. I. Lur'e and V. N. Postnikov, "On the theory of stability of control systems," Applied mathematics and mechanics, 8(3), 1944, (in Russian).
• M. Vidyasagar, Nonlinear Systems Analysis, second edition, Prentice Hall, Englewood Cliffs, New Jersey 07632.

See also

• Phase-locked loop