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Journal ArticleDOI

Stabilization of Uncertain Discrete-Time Linear System With Limited Communication

TLDR
It is shown that the robust control law with aperiodic information ensures input-to-state stability of the original system in the presence of mismatched uncertainty, and derived the event-triggering condition for a discrete-time uncertain system.
Abstract
This technical note proposes a procedure to control an uncertain discrete-time networked system using an aperiodic stabilizing input information. The system is primarily affected by the time-varying, norm bounded, mismatched parametric uncertainty. Aperiodic exchange of information is done due to bandwidth constraint of the communication network. An event-triggered based robust control strategy is adopted to reduce the effects of system uncertainty in such bandwidth constrained networks. In event-triggered control, the control input is computed and actuated at the system end only when a pre-specified event condition is violated. The robust control input is derived to stabilize the uncertain system by solving an optimal control problem based on a virtual nominal dynamics and a modified cost-functional. It is shown that the robust control law with aperiodic information ensures input-to-state stability (ISS) of the original system in the presence of mismatched uncertainty. Deriving the event-triggering condition for a discrete-time uncertain system and ensuring the stability of such system analytically are the key contributions of this technical note. A numerical example is given to prove the efficacy of the proposed event-based control algorithm over the conventional periodic one.

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Citations
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Comparison of Riemann and Lebesque sampling for first order stochastic systems

TL;DR: In this article, it is shown that Lebesgue sampling gives better performance for some simple systems than traditional Riemann sampling, which is an analog of integration theory and is called event-based sampling.
Journal ArticleDOI

Synchronization of Switched Discrete-Time Neural Networks via Quantized Output Control With Actuator Fault

TL;DR: This article considers global exponential synchronization almost surely (GES a.s.) for a class of switched discrete-time neural networks (DTNNs) and finds that the TP matrix plays an important role in achieving the GES a.S., the upper bound of the dwell time (DT) of unsynchronized subsystems can be very large, and the lowerbound of the DT of synchronized subsystems could be very small.
Journal ArticleDOI

Data-Driven Robust Control of Discrete-Time Uncertain Linear Systems via Off-Policy Reinforcement Learning

TL;DR: A model-free solution to the robust stabilization problem of discrete-time linear dynamical systems with bounded and mismatched uncertainty is presented and it is shown that the optimal controller obtained by solving the ARE can robustly stabilize the uncertain system.
Journal ArticleDOI

Model-Free <i>λ</i>-Policy Iteration for Discrete-Time Linear Quadratic Regulation

TL;DR: In this paper , a model-free λ -policy iteration (λ -PI) for the discrete-time linear quadratic regulation (LQR) problem is presented.
Journal ArticleDOI

Improved event-triggered adaptive control of non-linear uncertain networked systems

TL;DR: An improved event-triggered adaptive backstepping control scheme is presented in this study for a class of uncertain NCSs with non-Lipschitz non-linearities under limited resources to satisfy bandwidth limitation and ensure system stability with acceptable transient performance.
References
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Book ChapterDOI

I and J

Book

Matrix Analysis

TL;DR: In this article, the authors present results of both classic and recent matrix analyses using canonical forms as a unifying theme, and demonstrate their importance in a variety of applications, such as linear algebra and matrix theory.
Journal ArticleDOI

Event-Triggered Real-Time Scheduling of Stabilizing Control Tasks

TL;DR: This note investigates a simple event-triggered scheduler based on the paradigm that a real-time scheduler could be regarded as a feedback controller that decides which task is executed at any given instant and shows how it leads to guaranteed performance thus relaxing the more traditional periodic execution requirements.
Journal ArticleDOI

Stability of networked control systems

TL;DR: This work model NCSs with packet dropout and multiple-packet transmission as asynchronous dynamical systems and analyze their stability using stability regions and a hybrid systems technique, and discusses methods to compensate network-induced delay.
Book

Optimal Sampled-Data Control Systems

TL;DR: This paper proposes a direct attack in the continuous-time domain, where sampled-data systems are time-varying.
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