Advanced Textbooks in Control and Signal Processing

System Identification

An Introduction

Robust Control Design with MATLAB®

Power Electronic Converters Modeling and Control

with Case Studies

Feedback Control

Linear, Nonlinear and Robust Techniques and Design with Industrial Applications

Receding Horizon Control

Model Predictive Control for State Models

Robotics

Modelling, Planning and Control

Control of Dead-time Processes

Modeling and Control of Discrete-event Dynamic Systems

with Petri Nets and Other Tools

Robotics

Modelling, Planning and Control

Genetic Algorithms

Concepts and Designs

Introduction to Optimal Estimation

Discrete-time Signal Processing

An Algebraic Approach

Modelling and Control of Robot Manipulators

Neural Networks for Modelling and Control of Dynamic Systems

A Practitioner’s Handbook

Fault Detection and Diagnosis in Industrial Systems

Statistical Signal Processing

Modelling and Estimation

Control Systems with Input and Output Constraints

Parallel Computing for Real-time Signal Processing and Control

Analysis and Control of Nonlinear Process Systems

Discrete-time Stochastic Systems

Estimation and Control

Model Predictive Control

Multivariable Control Systems

An Engineering Approach

Digital Self-tuning Controllers

Algorithms, Implementation and Applications

Principles of Adaptive Filters and Self-learning Systems

Active Noise and Vibration Control

Control of Robot Manipulators in Joint Space

Automatic Control with Experiments

Model-Reference Adaptive Control

A Primer

Hybrid Dynamical Systems

Fundamentals and Methods