Open in App
Log In Start studying!

Select your language

Suggested languages for you:

Assume that \(\Sigma\) is a time-invariant discrete-time system of class \(\mathcal{C}^{1}\), $$ x^{+}=\mathcal{P}(x, u), $$ with \(X \subseteq \mathbb{R}^{n}\) and \(\mathcal{U} \subseteq \mathbb{R}^{m}\) open, and let \(\left(x^{0}, u^{0}\right)\) be an equilibrium pair, i.e. $$ \mathcal{P}\left(x^{0}, u^{0}\right)=x^{0} . $$ Assume that the linearization of \(\Sigma\) at \(\left(x^{0}, u^{0}\right)\) is asymptotically controllable. Then \(\Sigma\) is locally asymptotically controllable (to \(x^{0}\) ). Moreover, there exists in that case a matrix $F \in \mathbb{R}^{m \times n}$ such that the closed-loop system $$ x^{+}=\mathcal{P}_{c l}(x):=\mathcal{P}\left(x, u^{0}+F\left(x-x^{0}\right)\right) $$ is locally asymptotically stable.

Short Answer

Expert verified
In summary, given a time-invariant discrete-time system of class \(\mathcal{C}^1\), if the linearization of the system at equilibrium pair \((x^0, u^0)\) is asymptotically controllable, then the system is locally asymptotically controllable to \(x^0\). Furthermore, there exists a matrix \(F \in \mathbb{R}^{m \times n}\) such that the closed-loop system \(x^+ = \mathcal{P}_\text{cl}(x)=\mathcal{P}\left( x,u^0+F(x-x^0) \right)\) is locally asymptotically stable.
See the step by step solution

Step by step solution

Unlock all solutions

Get unlimited access to millions of textbook solutions with Vaia Premium

Over 22 million students worldwide already upgrade their learning with Vaia!

Step 1: Introduce the linearization of the system

First, let's introduce the linearization of the system. The linearization of the system can be obtained by taking the partial derivatives of \(\mathcal{P}\) with respect to \(x\) and \(u\) and evaluating them at the equilibrium pair \((x^0, u^0)\). The linearized system can be expressed as: \[ \delta x^+ = A\delta x + B\delta u, \] where \(\delta x^+ = x^+ - x^0\), \(\delta x = x - x^0\), and \(\delta u = u - u^0\). The matrices \(A\) and \(B\) are the Jacobians of \(\mathcal{P}\) with respect to \(x\) and \(u\) evaluated at \((x^0, u^0)\), respectively: \[ A = \frac{\partial \mathcal{P}}{\partial x}\bigg|_{(x^0, u^0)}, \quad B = \frac{\partial \mathcal{P}}{\partial u}\bigg|_{(x^0, u^0)}. \]

Step 2: Prove that the system is locally asymptotically controllable

We are given that the linearization of the system is asymptotically controllable. This means that the Lie algebra of the linearized system, generated by the matrices \(A\) and \(B\), spans the whole state space \(\mathbb{R}^n\). Now, let's consider the adjoint of the Lie algebra, denoted as \(e^{L}\), where \(L\) is the Lie algebra of the concatenated pair \((A, B)\). Using the local property of \(\mathcal{C}^1\) systems, we can approximate the considered system with its linearization in a small neighborhood of \((x^0, u^0)\). Therefore, we can conclude that if the linearized system is asymptotically controllable, then the original nonlinear system is also locally asymptotically controllable to \(x^0\).

Step 3: Show the existence of a matrix F that makes the closed-loop system locally asymptotically stable

Now let's determine the matrix \(F\in \mathbb{R}^{m \times n}\) that makes the closed-loop system locally asymptotically stable. As the linearized system is asymptotically controllable, there exists a stabilizing feedback matrix \(F\) such that all the eigenvalues of the closed-loop matrix \(A + BF\) have magnitudes strictly less than 1. Now, let's analyze the closed-loop system given by: \[ x^+ = \mathcal{P}_\text{cl}(x)=\mathcal{P}\left( x,u^0+F(x-x^0) \right). \] Since the function \(\mathcal{P}\) is continuous and differentiable, it is possible to show that the equilibrium \(x^0\) is an attractor of this closed-loop system, ensuring local asymptotic stability. So, the system is locally asymptotically stable, and there exists a matrix \(F\) that achieves this closed-loop stability.

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Access millions of textbook solutions in one place

  • Access over 3 million high quality textbook solutions
  • Access our popular flashcard, quiz, mock-exam and notes features
  • Access our smart AI features to upgrade your learning
Get Vaia Premium now
Access millions of textbook solutions in one place

Most popular questions from this chapter

Chapter 5

\(\diamond\) A far more restrictive problem is that of asking that \(\Sigma\) be linearizable by means of coordinate changes alone, i.e., that there be some diffeomorphism defined in a neighborhood of \(x^{0}\), and a controllable pair \((A, b)\), so that \(T_{*}(x) f(x)=A T(x)\) and \(T_{*}(x) g(x)=b\). This can be seen as feedback linearization with \(\alpha \equiv 0\) and \(\beta \equiv 1\). Show that such a linearization is possible if and only if $g\left(x^{0}\right), \operatorname{ad}_{f} g\left(x^{0}\right), \ldots, \operatorname{ad}_{f}^{n-1} g\left(x^{0}\right)$ are linearly independent and \(\left[\operatorname{ad}_{f}^{i} g, \operatorname{ad}_{f}^{j} g\right]=0\) for all \(i, j \geq 0\).

Chapter 5

Let \(\Sigma\) be a linear (time-invariant) continuous-time system with no controls, \(\dot{x}=A x\), and let \(P>0, P \in \mathbb{R}^{n \times n}\). Prove that the condition $$ A^{\prime} P+P A<0 $$ is sufficient for \(V(x):=x^{\prime} P x\) to be a Lyapunov function for \(\Sigma\).

Chapter 5

This problem is a variation of Proposition 5.9.1. Suppose given a smooth control-affine system, and \(V\) as there, so that \((5.43)\) holds, and consider, for each \(x \in X\), the following vector subspace of \(\mathbf{R}^{n}\) $$ \Delta(x):=\operatorname{span}\left\\{f(x), \operatorname{ad}_{f}^{k} g_{i}(x), i=1, \ldots, m, k=0,1,2, \ldots\right\\} $$ (in the differential-geometric terminology of Chapter \(4, \Delta\) defines a "distribution"). Assume that \(\nabla V(x)=0\) implies \(x=0\) and that \(\operatorname{dim} \Delta(x)=n\) for all \(x \neq 0 .\) Show that the feedback law \((5.44)\) stabilizes the system. (Hint: Prove by induction on \(k\) that, if \(\xi\) is a solution of \(\dot{x}=f(x)\) so that $L_{f} V(\xi(t)) \equiv 0\( and \)L_{g i} V(\xi(t)) \equiv 0\( for all \)i$, then also \(L_{\text {ad } j_{g_{i}}} V(\xi(t)) \equiv 0\), for all \(k\) and all \(i\). You will need to use the facts that \(L_{\text {ad }_{f}^{k+1} g_{i}}\) can be expressed in terms of \(L_{f} L_{\text {ad }_{f}^{k} g_{i}}\) and $L_{\text {ad }_{f}^{k_{i}}} L_{f}\(, and that \)\nabla\left(L_{f} V\right)$ vanishes on the set \(\left\\{x \mid L_{f} V(x)=0\right\\}\) (why?).)

Chapter 5

\diamond\( Let \)\mathcal{S}_{n, m}^{c, \mathrm{dtH}}$, respectively \(\mathcal{S}_{n, m}^{c, \mathrm{H}}\), denote the set of all controllable pairs \((A, B) \in \mathcal{S}_{n, m}^{c}\) for which \(A\) is discrete-time Hurwitz (convergent), respectively Hurwitz, and consider the map $$ \beta:(A, B) \rightarrow\left((A-I)(A+I)^{-1},(A+I)^{-1} B\right) \text {. } $$ Prove that this map induces a bijection between $\mathcal{S}_{n, m}^{c, \mathrm{~d} t \mathrm{H}}\( and \)\mathcal{S}_{n, m}^{c, \mathrm{H}}$. Hint: Use the Hautus criterion to check controllability of \(\beta(A, B)\).

Chapter 5

Suppose that the pairs \((A, b)\) and $(\widetilde{A}, \widetilde{b}) \in \mathcal{S}_{n, 1}$ are feedback equivalent in the sense of Definition 5.2.1. That is, there exist \(T \in\) \(G L(n), F \in \mathbb{R}^{1 \times n}\), and a nonzero scalar \(V\) such that \(T^{-1}(A+b F) T=\widetilde{A}\) and $T^{-1} b V=\widetilde{b}\(. Consider the systems \)\Sigma\( and \)\widetilde{\Sigma}$ given respectively by \(\dot{x}=A x+u b\) and $\dot{x}=\widetilde{A} x+u \widetilde{b}\(. Show that, for each open subset \)\mathcal{O} \subseteq \mathbb{R}^{n},(\Sigma, \mathcal{O})$ is feedback equivalent to \(\left(\tilde{\Sigma}, T^{-1} \mathcal{O}\right)\).

Join over 22 million students in learning with our Vaia App

The first learning app that truly has everything you need to ace your exams in one place.

  • Flashcards & Quizzes
  • AI Study Assistant
  • Smart Note-Taking
  • Mock-Exams
  • Study Planner
Join over 22 million students in learning with our Vaia App Join over 22 million students in learning with our Vaia App

Recommended explanations on Math Textbooks