Cybernetics and systems theory

Control Theory for Linear Systems deals with the mathematical theory of feedback control of linear systems.

Discrete-time Stochastic Systems gives a comprehensive introduction to the estimation and control of dynamic stochastic systems and provides complete derivations of key results such as the basic relations for Wiener filtering.

The series Advances in Industrial Control aims to report and encourage of control technology transfer in control engineering.

Relay feedback has attracted considerable research attention for more than a century but there has been no recent summary of the many newly-developed tools and results now available for this important area as a whole, those that have been published tending to focus on one process or controller type only.

A typical method of dealing with input and output constraints, especially for PID control, has been the empirical design and implementation of an intuitive solution to an individual plant and its constraints.

Plant control systems are subject to the undesirable influence of exogenous commands and disturbances.

An exposition of the interplay between the modelling of dynamic systems and the design of feedback controllers based on these models is the main goal of this book.

In the last decade a dynamic development in positive systems has been observed.

New results, fresh ideas and new applications in automotive and flight control systems are presented in this second edition of Robust Control.

At the core of many engineering problems is the solution of sets of equa- tions and inequalities, and the optimization of cost functions.

Machine Vision Algorithms in Java provides a comprehensive introduction to the algorithms and techniques associated with machine vision systems.

Since the first edition of C++ for Scientists, Engineers and Mathematicians, many things have changed.

Modern methods of filter design and controller design often yield systems of very high order, posing a problem for their implementation.

In the last decade new artificial intelligence methods for the modelling and control of complex systems, namely neural networks, fuzzy logic and probabilistic reasoning have drawn the interest of researchers and engineers.

Neural networks have a learning capability but analysis of a trained network is difficult.

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The book provides a self-contained and complete description of the long time evolution of the solutions to a class of one-dimensional reaction-diffusion equations, in which the diffusion is given by an integral operator.

This book comprehensively explores the foundations of quasiconformal mappings in the complex plane, especially in view of applications to complex dynamics.

This book serves as a comprehensive introduction to nonlinear complex systems through the application of machine learning methods.

This book explores the need for innovative approaches to administrative digitization, leveraging technologies such as AI, blockchain, and smart processes to meet citizens' expectations, with a particular focus on the role of Chief Digital Officers (CDOs) in driving successful digital transformations within public institutions.

This book explores the need for innovative approaches to administrative digitization, leveraging technologies such as AI, blockchain, and smart processes to meet citizens' expectations, with a particular focus on the role of Chief Digital Officers (CDOs) in driving successful digital transformations within public institutions.

This book, the third of 15 related monographs, presents systematically a theory of self-independent cubic nonlinear systems.

This volume presents a timely overview of control theory and related topics, such as the reconstruction problem, the stability of PDEs, and the Calderon problem.

This book offers a comprehensive yet approachable introduction to essential mathematical concepts, tailored specifically for undergraduate and first-year graduate students in Economics and Social Sciences.

This book serves as a comprehensive introduction to nonlinear complex systems through the application of machine learning methods.

This book provides an overview of recent developments of complexity theory within the realm of social sciences.

This book provides an overview of software security analysis in a DevOps cycle including requirements formalisation, verification and continuous monitoring.

This book examines the problems of causal determinism and limited completeness in systems theory.

This book delves into the intricacies of transformative processes, focusing particularly on radical and disruptive changes that shape markets, social systems, organizations, cities, and service ecosystems.

This monograph presents a mathematically rigorous and accessible treatment of the interaction between information, decision, control, and probability in single-agent and multi-agent systems.

This book is a comprehensive guide to methodologies for analyzing reliability and optimizing maintenance in complex systems, spanning from initial design to operational stages.

Complex systems seem to magically emerge from the interactions of their parts.

This book delves deep into the world of low-power Internet of  Things (IoT) node positioning, in an era where IoT is revolutionizing connectivity and communication.

This book presents a comprehensive discussion of the mechanical modelling and control of multicopters, more commonly referred to as drones.

This book presents a comprehensive discussion of the mechanical modelling and control of multicopters, more commonly referred to as drones.

This book provides the dynamics of non-equilibrium dissipative systems with asymmetric interactions (Asymmetric Dissipative System; ADS).

This monograph presents a mathematically rigorous and accessible treatment of the interaction between information, decision, control, and probability in single-agent and multi-agent systems.

This book presents a unique approach to the design and analysis of beneficial nonlinearity, which can take an important and critical role in engineering systems and thus cannot be simply ignored in structural design, dynamic response analysis, and parameter selection.

This book is dedicated to Prof.

For nonlinear dynamical systems, which represent the majority of real devices, any study of stability requires the investigation of the domain of attraction of an equilibrium point, i.

This monograph details basic concepts and tools fundamental for the analysis and synthesis of linear systems subject to actuator saturation and developments in recent research.

After a brief introduction to the main law of physics and fundamental concepts inherent in electromechanical conversion, Vector Control of Induction Machines introduces the standard mathematical models for induction machines - whichever rotor technology is used - as well as several squirrel-cage induction machine vector-control strategies.

Human-in-the-Loop Simulations is a compilation of articles from experts in the design, development, and use of human-in-the-loop simulations.

This book presents an innovative control system design process motivated by renewable energy electric grid integration problems.

Networked and Distributed Predictive Control presents rigorous, yet practical, methods for the design of networked and distributed predictive control systems - the first book to do so.

An extension of different lectures given by the authors, Local Bifurcations, Center Manifolds, and Normal Forms in Infinite Dimensional Dynamical Systems provides the reader with a comprehensive overview of these topics.

Analysis and Control of Boolean Networks presents a systematic new approach to the investigation of Boolean control networks.

The safe management of the complex distributed systems and critical infrastructures which constitute the backbone of modern industry and society entails identifying and quantifying their vulnerabilities to design adequate protection, mitigation, and emergency action against failure.

Although the problem of nonlinear controller design is as old as that of linear controller design, the systematic design methods framed in response are more sparse.

Adaptive Control (second edition) shows how a desired level of system performance can be maintained automatically and in real time, even when process or disturbance parameters are unknown and variable.