Panos J. Antsaklis Knihy

This work is characterized by thoroughness, completeness, and clarity, making it an excellent linear systems textbook. The authors expertly present the theory of linear systems as it has evolved over the last thirty years, resulting in a comprehensive exposition that lays a solid foundation for advanced topics in system theory and control. It is highly recommended as both a textbook and a reference due to its mathematical sophistication and completeness. Linear systems theory is fundamental across various engineering fields, including electrical, mechanical, chemical, and aerospace engineering, as well as in communications and signal processing. This self-contained textbook provides a thorough introduction to systems theory with a focus on control, examining the fundamental properties that govern system behavior through mathematical descriptions. It covers linear time-invariant, time-varying, continuous-time, and discrete-time systems, offering rigorous development of both classic and contemporary topics, alongside extensive discussions on stability and polynomial matrix/fractional representation. Designed for a challenging one-semester graduate course, a solutions manual is available for instructors upon adoption. The book's flexible coverage and self-contained nature also make it an excellent reference guide or self-study manual. For a more intuitive treatment of linear systems focusing on the time-invariant case, the auth

Based on a streamlined presentation of the authors’ successful work Linear Systems , this textbook provides an introduction to systems theory with an emphasis on control. Initial chapters present necessary mathematical background material for a fundamental understanding of the dynamical behavior of systems. Each chapter includes helpful chapter descriptions and guidelines for the reader, as well as summaries, notes, references, and exercises at the end. The emphasis throughout is on time-invariant systems, both continuous- and discrete-time.

This monograph introduces a class of networked control systems (NCS) called model-based networked control systems (MB-NCS) and presents various architectures and control strategies designed to improve the performance of NCS. The overall performance of NCS considers the appropriate use of network resources, particularly network bandwidth, in conjunction with the desired response of the system being controlled. The book begins with a detailed description of the basic MB-NCS architecture that provides stability conditions in terms of state feedback updates. It also covers typical problems in NCS such as network delays, network scheduling, and data quantization, as well as more general control problems such as output feedback control, nonlinear systems stabilization, and tracking control. Key features and topics include: Time-triggered and event-triggered feedback updates Stabilization of uncertain systems subject to time delays, quantization, and extended absence of feedback Optimal control analysis and design of model-based networked systems Parameter identification and adaptive stabilization of systems controlled over networks The MB-NCS approach to decentralized control of distributed systems Model-Based Control of Networked Systems will appeal to researchers, practitioners, and graduate students interested in the control of networked systems, distributed systems, and systems with limited feedback.

Recent technological developments in sensing, communications, control and computation have created an emerging class of complex systems hereon called networked embedded systems. These systems can be roughly described as collections of spatially distributed sensors, actuators and controllers whose behaviour is coordinated through wired or wireless communication links. This integration between different technologies and scientific domains presents new and challenging fundamental problems underlying the theoretical foundations for this class of systems. This workshop aims at bringing together researchers working of different aspects of networked embedded systems in order to exchange research experiences and to identify the main scientific challenges in this exciting new area.

This book documents the scientific outcome of the Third International Workshop on Hybrid Systems, held in Ithaca, NY, USA, in October 1994. It presents a selection of carefully reviewed and revised full papers chosen from the workshop contribution and is the successor to LNCS 736, the seminal „Hybrid Systems“ volume edited by Grossman, Nerode, Ravn, and Rischel. Hybrid systems are models for networks of digital and continuous devices, in which digital control programs sense and supervise continuous and discrete plants governed by differential or difference equations. The investigation of hybrid systems is creating a new and fascinating discipline bridging mathematics, computer science, and control engineering.