Cybernetics and systems theory

This book collects chapters dealing with some of the theoretical aspects needed to properly discuss the dynamics of complex engineering systems.

This book lays the foundation for the study of input-to-state stability (ISS) of partial differential equations (PDEs) predominantly of two classes-parabolic and hyperbolic.

This book presents recent developments in nonlinear dynamics with an emphasis on complex systems.

This new collection of essays follows in the footsteps of the successful volume Thinking Ahead - Essays on Big Data, Digital Revolution, and Participatory Market Society, published at a time when our societies were on a path to technological totalitarianism, as exemplified by mass surveillance reported by Edward Snowden and others.

This book is devoted to the issue of how we can learn to live together in the face of division and conflict.

Presenting a selection of recent developments in geometrical problems inspired by the N-body problem, these lecture notes offer a variety of approaches to study them, ranging from variational to dynamical, while developing new insights, making geometrical and topological detours, and providing historical references.

The purpose of this primer is to provide the basics of the Finite Element Method, primarily illustrated through a classical model problem, linearized elasticity.

This book includes two objectives.

The proceedings of the 2017 Symposium on Chaos, Complexity and Leadership illuminate current research results and academic work from the fields of physics, mathematics, education, economics, as well as management and social sciences.

This book is a comprehensive exposition of the theory, algorithms, and applications of structured low-rank approximation.

This book focuses on approximations under the presence of ordinary and fractional smoothness, presenting both the univariate and multivariate cases.

This technical meeting will focus on Alloy 718 and Superalloys in this class relative to alloy and process development, production, product applications, trends and the development of advanced modeling tools.

This book describes models of the neuron and multilayer neural structures, with a particular focus on mathematical models.

This book gives a comprehensive overview of the relationship between admissibility and hyperbolicity.

Thermal processes are ubiquitous and an understanding of thermal phenomena is essential for a complete description of the physics of nanoparticles, both for the purpose of modeling the dynamics of the particles and for the correct interpretation of experimental data.

In a unified form, this monograph presents fundamental results on the approximation of centralized and decentralized stochastic control problems, with uncountable state, measurement, and action spaces.

This monograph examines rotation sets under the multiplication by d (mod 1) map and their relation to degree d polynomial maps of the complex plane.

This volume presents the proceedings of the 12th IFToMM International Symposium on Science of Mechanisms and Machines (SYROM 2017), that was held in "e;Gheorghe Asachi"e; Technical University of Iasi, Romania, November 02-03, 2017.

This book shows how supervisory control theory (SCT) supports the formulation of various control problems of standard types, like the synthesis of controlled dynamic invariants by state feedback, and the resolution of such problems in terms of naturally definable control-theoretic concepts and properties, like reachability, controllability and observability.

One of the most important routes to chaos is the chaotic intermittency.

This book collects recent developments in nonlinear and complex systems.

Control of Discrete-Time Descriptor Systems takes an anisotropy-based approach to the explanation of random input disturbance with an information-theoretic representation.

This book focuses on fractional calculus, presenting novel advances in both the theory and applications of non-integer order systems.

Reinforcement Learning for Optimal Feedback Control develops model-based and data-driven reinforcement learning methods for solving optimal control problems in nonlinear deterministic dynamical systems.

This textbook provides a broad introduction to continuous and discrete dynamical systems.

This monograph addresses problems of:* nonlinear control, estimation and filtering for robotic manipulators (multi-degree-of freedom rigid-link robots, flexible-link robots, underactuated, redundant  and cooperating manipulators and closed-chain robotic mechanisms); and* nonlinear control, estimation and filtering for autonomous robotic vehicles operating on the ground, in the air, and on and under water, independently and in cooperating groups.

The spectra of transfer operators associated to dynamical systems, when acting on suitable Banach spaces, contain key information about the ergodic properties of the systems.

This volume contains the proceedings of the XII Symposium of Probability and Stochastic Processes which took place at Universidad Autonoma de Yucatan in Merida, Mexico, on November 16-20, 2015.

This book offers advanced parallel and distributed algorithms and experimental laboratory prototypes of unconventional shortest path solvers.

Recent developments in model-predictive control promise remarkable opportunities for designing multi-input, multi-output control systems and improving the control of single-input, single-output systems.

This book shows how supervisory control theory (SCT) supports the formulation of various control problems of standard types, like the synthesis of controlled dynamic invariants by state feedback, and the resolution of such problems in terms of naturally definable control-theoretic concepts and properties, like reachability, controllability and observability.

Around the globe, there is an increasingly urgent need to provide opportunities for learners to embrace complexity; to develop the many skills and habits of mind that are relevant to today's complex and interconnected world; and to make learning more connected to our rapidly changing workplace and society.

This book presents 29 invited articles written by participants of the International Workshop on Operator Theory and its Applications held in Chemnitz in 2017.

This textbook presents theory and practice in the context of automatic control education.

This collection of prize-winning essays addresses the controversial question of how meaning and goals can emerge in a physical world governed by mathematical laws.

This edited volume presents examples of social science research projects that employ new methods of quantitative analysis and mathematical modeling of social processes.

This monograph presents controllability and stabilization methods in control theory that solve parabolic boundary value problems.

This book elaborates on an idea put forward by M.

This book presents essential tools for modelling non-linear time series.

This book provides a comprehensive presentation of classical and advanced topics in estimation and control of dynamical systems with an emphasis on stochastic control.

This book provides an introduction to Swarm Robotics, which is the application of methods from swarm intelligence to robotics.

This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice.

This book discusses mathematical models for various applications in economics, with a focus on non-linear dynamics.

This self-contained book presents a framework for solving a general class of linear systems with coefficients being continuous functions of parameters varying within prescribed intervals.

The book introduces possibly the most compact, simple and physically understandable tool that can describe, explain, predict and design the widest set of phenomena in time-variant and nonlinear oscillations.

This book presents an overview of the different errors-in-variables (EIV) methods that can be used for system identification.

This book concentrates on the modern theory of dynamical systems and its interactions with number theory and combinatorics.

This book introduces characteristic features of the protein structure prediction (PSP) problem.

Nonlinear Dynamics, Volume 1: Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics, 2018, the first volume of nine from the Conference brings together contributions to this important area of research and engineering.

This edited monograph provides a comprehensive and in-depth analysis of sliding mode control, focusing on event-triggered implementation.