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Concentrating on valve behaviour in a chemical process, this monograph develops insights into the manner in which equipment behaviour should impact the design process for Economic Model Predictive Control and to provide a perspective on a number of open research topics in this direction.

Presents some existing and new results on analysis and design of finite-time and fixed-time converging systems. Two main groups of approaches for analysis/synthesis of this kind of convergence, Lyapunov functions and the theory of homogeneous systems, are considered.

This book provides an accessible overview of the complexities of generalized coordination for students, researchers and practitioners alike. Covering both theory and practical issues, the authors provide examples throughout to clearly illustrate the concepts being discussed.

Describes in detail the research on fault diagnosis, opacity analysis and enhancement, and cyber security analysis and enforcement, within suitable discrete event system modelling frameworks. In each case, the authors describe basic problem statements and key concepts, and then point out the key challenges in each research area.

Describes the use of principles of reinforcement learning (RL) to design feedback policies for continuous-time dynamical systems that combine features of adaptive control and optimal control. The authors give an insightful introduction to reinforcement learning techniques that can address various control problems.

Provides the reader with an accessible primer on a new direction in control theory still in its infancy, namely Learning-Based Control Theory, that is closely tied to the literature of safe Reinforcement Learning and Adaptive Dynamic Programming.

Formalizes the ecologist's regime shift concept that allows the identification of two distinct regime shift mechanisms, shock-induced and bifurcation-induced regime shift, before defining ecological resilience as a regime transition system.

Provides a comprehensive survey of intelligent tools for analysis and design that take fundamental steps towards achieving resilient operation in Cyber-Physical Systems. The authors investigate the challenges of achieving reliable control and estimation over networks, particularly in the face of uncertainty and resource constraints.

Provides a comprehensive overview of the most common approaches used to design distributed optimization algorithms, together with the theoretical analysis of the main schemes in their basic version. The book identifies and formalizes classes of problem set-ups that arise in motivating application scenarios.

Tracing the roots of Multi-Agent Systems (MAS) back more than 50 years, this book provides the reader with an in-depth and comprehensive survey of the research in MAS. The book introduces the basic concepts and definitions to the reader before going on to describe how MAS has been used in most forms of systems.

A reset controller is a linear controller whose output is reset to zero whenever its input and output satisfy an appropriate algebraic relationship. This monograph gives an in-depth assessment of the state-of-the-art and provides the reader with a starting point for further research into the increasingly important topic of Reset Control Systems.

Provides a thorough survey of current research work in max-plus linear systems. This book summarizes the main mathematical concepts required for a theory of max-plus linear systems, including idempotent semirings, residuation theory, fixed point equations in the max-plus algebra, formal power series, and timed-event graphs.

Focuses on the key operations of distributed average consensus and weight/flow balancing under a variety of communication topologies and adversarial network conditions such as delays and packet drops. The book provides the reader with thorough grounding into the theory underpinning the research before discussing two applications in detail.

Addresses all the issues in sensor fault detection and isolation. The book provides a clear tutorial on the challenges and models that can be used to address them, and describes the requirements for modelling the systems, designing the architecture, detecting faults, isolating faults, and presents learning techniques for enhancing performance.

Positive systems naturally arise in the description of biological systems, compartmental models, population dynamics, traffic modeling, chemical reactions, queue processes, and so on. This is the first work to provide an overview of these developments, outlining the typical applications of such systems.

Provides an overview of the convergence rate of distributed algorithms for coordination and its relevance to optimization in a system of autonomous agents embedded in a communication network, where each agent is aware of (and can communicate with) its local neighbours only.

Provides a comprehensive overview of game theory covering the foundations of the theory of non-cooperative and cooperative games, both static and dynamic. The book also highlights new trends in cooperative differential games, learning, approachability (games with vector payoffs) and mean-field games (large number of homogeneous players).

Provides a comprehensive tutorial on solutions to the supervisory control problem. The reader is shown results that are theoretically rigorous yet offer rich practical applications. These resource allocation techniques point the way forward for the necessary further research to successfully solve the scheduling problems in such systems.

Written in a tutorial style, this monograph reviews and places in context how the continuous and the discrete dynamics, as well as their interactions, intervene in the observability property of a quite general class of hybrid systems: linear hybrid systems called H-systems.

Focuses on systems with linear dynamics, giving rise to convex control problems. This book provides a comprehensive survey of a family of first order methods known as decomposition schemes or operator splitting methods and shows the behaviour of such algorithms as solvers of control related convex problems from tens to a few hundreds of variables.

Studies the stability, performance evaluation, stabilization via switching control, and optimal control of (continuous-time and linear) positive switched systems. The book provides a review of the results that have already been established in the literature.

Provides a concise and easily accessible description of the foundations underpinning port-Hamiltonian systems theory, and goes on to emphasize novel developments in the field that will be of interest to a broad range of researchers. The tutorial style makes this book suitable for use in a course and by students.