This book presents the separation principle which is also known as the principle of separation of estimation and control and …
Nonlinear model predictive control (NMPC) is widely used in the process and chemical industries and increasingly for applications, such as …
Nonlinear Dynamical Systems and Control presents and develops an extensive treatment of stability analysis and control design of nonlinear dynamical …
This volume of contributions pays tribute to the life and work of Djairo Guedes de Figueiredo on the occasion of …
This book focuses on the vector Allen-Cahn equation, which models coexistence of three or more phases and is related to …
The aim of these notes is to include in a uniform presentation style several topics related to the theory of …
CHAOS: An Introduction to Dynamical Systems was developed and class-tested by a distinguished team of authors at two universities through …
The book discusses continuous and discrete systems in systematic and sequential approaches for all aspects of nonlinear dynamics. The unique …
This significant volume is intended for advanced undergraduate or first year graduate students as an introduction to applied nonlinear dynamics …
A new edition of this well-established monograph, this volume provides a comprehensive overview over the still fascinating field of chaos …
Methods of nonlinear time series analysis are discussed from a dynamical systems perspective on the one hand, and from a …
This text emphasizes nonlinear models for a course in time series analysis. After introducing stochastic processes, Markov chains, Poisson processes, …
The emphasis throughout the present volume is on the practical application of theoretical mathematical models helping to unravel the underlying …
Nonlinear Industrial Control Systems presents a range of mostly optimisation-based methods for severely nonlinear systems; it discusses feedforward and feedback …
