Linear and Non-Linear System Theory focuses on the basics of linear and non-linear systems, optimal control and optimal estimation with an objective to understand the basics of state space approach linear and non-linear systems and its analysis thereof. Divided into eight chapters, materials cover an introduction to the advanced topics in the field of linear and non-linear systems, optimal control and estimation supported by mathematical tools, detailed case studies and numerical and exercise problems. This book is aimed at senior undergraduate and graduate students in electrical, instrumentation, electronics, chemical, control engineering and other allied branches of engineering. Features Covers both linear and non-linear system theory Explores state feedback control and state estimator concepts Discusses non-linear systems and phase plane analysis Includes non-linear system stability and bifurcation behaviour Elaborates optimal control and estimation

Linear and Non-Linear System Theory focuses on the basics of linear and non-linear systems, optimal control and optimal estimation with an objective to understand the basics of state space approach linear and non-linear systems and its analysis thereof. Divided into eight chapters, materials cover an introduction to the advanced topics in the field of linear and non-linear systems, optimal control and estimation supported by mathematical tools, detailed case studies and numerical and exercise problems. This book is aimed at senior undergraduate and graduate students in electrical, instrumentation, electronics, chemical, control engineering and other allied branches of engineering. Features Covers both linear and non-linear system theory Explores state feedback control and state estimator concepts Discusses non-linear systems and phase plane analysis Includes non-linear system stability and bifurcation behaviour Elaborates optimal control and estimation

An Introduction to Process Modelling Identification and Control for Engineers offers a professional and modern view on process modeling, system identification and automatic control of physical and industrial processes. This is the first comprehensive text augmented with practical examples and their solution with MATLAB code to cater the needs of UG/PG students of Chemical Engineering/Control & Instrumentation Engineering/Electronics & Instrumentation/Electronics & Communication Engineering. Modeling of physical systems based on first principle with Material and energy balances, Formulation of transfer functions, Model structure with parametric identification and Closed-loop control methodologies supplemented by software, question and answers along with exercise problems are presented in this book.Associated mathematical tools (leading to both analytical and numerical solution) to solve models involving ODE/PDE, optimization tools, transient behavior of processes, transfer functions, feedback control, PID controller, stability analysis, frequency response, auto tuning using relay feedback, advanced process control, PID enhancement to improve closed-loop response resulting into set-point tracking as well as disturbance rejection, set point filters have been covered to address modern process control issues in process industries. This text explains auto tuning of PID controllers and related analysis for process identification for the first time using relay feedback by experts. Methodologies to identify process parameters from closed-loop responses are the added features of this book. Case studies of process control systems on leather will also be helpful for Leather technology students. Specific case studies on CSTR, Heat exchanger, Distillation column, Dryer, Boiler, Crystallizer, Evaporator have made the text helpful for students, faculties and professionals.