Cybernetics and systems theory

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The aim of this text is to provide an account of the fundamentals of thermodynamics which is accessible at graduate level to physicists, mathematicians and philosophers of physics.

The monograph present ideas and methods, developed by the author, to solve the problem of existence of Bohr/Levitan almost periodic (respectively, almost recurrent in the sense of Bebutov, almost authomorphic, Poisson stable) solutions and global attractors of monotone nonautonomous differential/difference equations.

Recently, novel metaheuristic techniques have emerged in response to the limitations of conventional approaches, leading to enhanced outcomes.

This textbook is a comprehensive overview of the construction, implementation, and application of important numerical methods for the solution of Initial Value Problems (IVPs).

This textbook provides a comprehensive exploration of anomalous stochastic processes and extreme events, commonly referred to as "e;black swans,"e; with a particular focus on (multi-)fractal approaches and continuous-time random walks.

Linear switched systems are a fascinating field of research, with many theoretical questions arising from applications which require sophisticated mathematical tools for their resolution.

Problems with high stakes, involving human perceptions and judgements, and whose resolutions have long-term repercussions, call for a rational approach to their solution.

Although nonlinear control is traditionally an area of interest in process systems engineering which is of great practical importance, many process engineers have difficulty with the paradigms and results of modern nonlinear control theory because they lack the mathematical background usually associated with such methods or because of their computational difficulty and small-scale applicability in the general case.

Multivariable Control Systems focuses on control design with continual references to the practical aspects of implementation.

Robust control mechanisms customarily require knowledge of the system's describing equations which may be of the high order differential type.

Fractional-order Systems and Controls details the use of fractional calculus in the description and modeling of systems, and in a range of control design and practical applications.

Linear, Time-varying Approximations to Nonlinear Dynamical Systems introduces a new technique for analysing and controlling nonlinear systems.

What Is BCI2000?

Evolutionary algorithms are becoming increasingly attractive across various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science and economics.

Complex System Reliability presents a state-of-the-art treatment of complex multi-channel system reliability assessment and provides the requisite tools, techniques and algorithms required for designing, evaluating and optimizing ultra-reliable redundant systems.

Safe Adaptive Control gives a formal and complete algorithm for assuring the stability of a switched control system when at least one of the available candidate controllers is stabilizing.

Block-oriented Nonlinear System Identification deals with an area of research that has been very active since the turn of the millennium.

Optimal Linear Controller Design for Periodic Inputs proposes a general design methodology for linear controllers facing periodic inputs which applies to all feedforward control, estimated disturbance feedback control, repetitive control and feedback control.

"e;Robust Control for Uncertain Networked Control Systems with Random Delays"e; addresses the problem of analysis and design of networked control systems when the communication delays are varying in a random fashion.

"e;Optimal Observation for Cyber-physical Systems"e; addresses the challenge, fundamental to the design of wireless sensor networks (WSNs), presented by the obligatory trade-off between precise estimates and system constraints.

Design of Observer-based Compensators facilitates and adds transparency to design in the frequency domain which is not as well-established among control engineers as time domain design.

Converse Lyapunov function theory guarantees the existence of strict Lyapunov functions in many situations, but the functions it provides are often abstract and nonexplicit, and therefore may not lend themselves to engineering applications.

Controlling Chaos achieves three goals: the suppression, synchronisation and generation of chaos, each of which is the focus of a separate part of the book.

Periodic Systems gives a comprehensive treatment of the theory of periodic systems, including the problems of filtering and control.

Discontinuous Systems develops nonsmooth stability analysis and discontinuous control synthesis based on novel modeling of discontinuous dynamic systems, operating under uncertain conditions.

Stabilization, Optimal and Robust Control develops robust control of infinite-dimensional dynamical systems derived from time-dependent coupled PDEs associated with boundary-value problems.

Aimed primarily at graduate students and researchers, this text is a comprehensive course in modern probability theory and its measure-theoretical foundations.

Information consensus guarantees that robot vehicles sharing information over a network topology have a consistent view of information critical to the coordination task.

Modern societies depend on the smooth operation of many complex systems (designed and built by humans) that provide a variety of outputs (products and services).

The underlying theory on which much modern robust and nonlinear control is based can often be dif?

A typical design procedure for model predictive control or control performance monitoring consists of: 1.

Networked control systems (NCS) confer advantages of cost reduction, system diagnosis and flexibility, minimizing wiring and simplifying the addition and replacement of individual elements; efficient data sharing makes taking globally intelligent control decisions easier with NCS.

This volume is composed of invited papers on learning and control.

"e;Recent Advances in Reliability and Quality in Design"e; presents the latest theories and methods of reliability and quality, with emphasis on reliability and quality in design and modelling.

Currently, reliability issues are not addressed effectively in new product development.

Often, real-world problems modeled by Markov decision processes (MDPs) are difficult to solve in practise because of the curse of dimensionality.

The purpose of this book is to present a self-contained description of the fun- damentals of the theory of nonlinear control systems, with special emphasis on the differential geometric approach.

Matrices are effective tools for modelling and analysing dynamical systems.

A self-contained introduction to algebraic control for nonlinear systems suitable for researchers and graduate students.

This monograph is devoted to the effect of delays on the stability properties of dynamical systems.

This book is about dynamical systems that are "e;hybrid"e; in the sense that they contain both continuous and discrete state variables.

Dissipative Systems Analysis and Control (second edition) presents a fully revised and expanded treatment of dissipative systems theory, constituting a self-contained, advanced introduction for graduate students, researchers and practising engineers.

While conceptually elegant, the generic formulations of nonlinear model predictive control are not ready to use for the stabilization of fast systems.

The topics of control engineering and signal processing continue to ?

This monograph studies the design of robust, monotonically-convergent it- ative learning controllers for discrete-time systems.

Recent years have seen an upsurge of interest in knowledge.

Discrete-event dynamic systems (DEDs) permeate our world, being of great importance in modern manufacturing processes, transportation and various forms of computer and communications networking.