scispace - formally typeset
Open Access

Global optimal control of quantized systems

About
The article was published on 2010-01-01 and is currently open access. It has received 5 citations till now.

read more

Citations
More filters
Journal ArticleDOI

ISS-Lyapunov Functions for Discontinuous Discrete-Time Systems

TL;DR: A stronger implication-form ISS- Lyapunov function is proposed and a complete characterization of ISS-Lyapunv functions for discrete-time systems with discontinuous dynamics is provided.
Journal ArticleDOI

Finite abstraction of mixed monotone systems with discrete and continuous inputs

TL;DR: In this paper, the authors present an efficient computational procedure for finite abstraction of discrete-time mixed monotone systems by considering a rectangular partition of the state space, and apply their results to verify the dynamical behavior of a model for insect population dynamics and to synthesize a signaling strategy for a traffic network.

Strong implication-form ISS-Lyapunov functions for discontinuous discrete-time systems

TL;DR: In this article, a stronger implication-form version of the ISS-Lyapunov function for discontinuous systems is proposed, which re-establishes the equivalence between dissipation-form and input-to-state stability.
Journal ArticleDOI

Subdivision algorithm for optimal control

TL;DR: The main contribution of the paper is understanding how cost function improves with further subdivision of state space and smaller memory footprint of the final solution in comparison with set‐oriented approach.
Book ChapterDOI

From Bellman to Dijkstra: Set oriented construction of globally optimal controllers

TL;DR: An approach for discretizing Bellman's optimality principle based on piecewise constant functions is reviewed and a discrete feedback can be constructed which robustly stabilizes a given nonlinear control system.
References
More filters
Journal ArticleDOI

Hybrid feedback stabilization of systems with quantized signals

TL;DR: This paper is concerned with global asymptotic stabilization of continuous-time systems subject to quantization and involves merging tools from Lyapunov stability, hybrid systems, and input-to-state stability.
Journal ArticleDOI

A set oriented approach to global optimal control

TL;DR: An algorithm for computing the value function for "all source, single desti- nation" discrete-time nonlinear optimal control problems together with approximations of associated globally optimal control strategies based on a set oriented approach in combination with graph-theoretic techniques.
Journal ArticleDOI

Global Optimal Control of Perturbed Systems

TL;DR: The method is based on a set-oriented discretization of the state space in combination with a new algorithm for the computation of shortest paths in weighted directed hypergraphs and it is proved the convergence of the scheme as the discretized parameter goes to zero.
Proceedings ArticleDOI

An algorithm for event-based optimal feedback control

TL;DR: An algorithm for an event based approach to the global optimal control of nonlinear systems with coarsely quantized state measurement with theoretical properties and a numerical example is presented.
Proceedings ArticleDOI

Approximately optimal nonlinear stabilization with preservation of the Lyapunov function property

TL;DR: By including the discretization errors into the optimal control formulation the authors are able to compute approximate optimal value functions which preserve the Lyapunov function property and corresponding optimally stabilizing feedback laws which are constant on each partition element.