This open access book introduces the basic principles of control theory in a concise self-study guide. It complements the classic texts by emphasizing the simple conceptual unity of the subject. A novice can quickly see how and why the different parts fit together.

This book covers what constitutes the common core of control theory and is unique in its emphasis on foundational aspects. While covering a wide range of topics written in a standard theorem/proof style, it also develops the necessary techniques from scratch.

An excellent introduction to feedback control system design, this book offers a theoretical approach that captures the essential issues and can be applied to a wide range of practical problems.

This book offers comprehensive coverage of control engineering, including frequency response approach, root-locus approach, and state-space approach to analysis and design of control systems.

This book is an introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Juptyer Notebook so that you can run and modify the code in your browser. What better way to learn?

This book provides an introduction to the mathematics needed to model, analyze, and design feedback systems. It uses techniques from physics, computer science, and operations research to introduce control-oriented modeling.

This book provides engineers, computer scientists, mathematicians, and students a broad, comprehensive source of information and technology to address many questions and aspects of flexible embedded control systems.

The book is mainly addressed to practicing control and embedded software engineers - working in research and development – as well as graduate students who are faced with the challenge to design control systems and implement them in real-time.

This self-contained introduction to the distributed control of robotic networks offers a distinctive blend of computer science and control theory. It provides explanations of the basic concepts and main results, as well as numerous examples and exercises.

This book will discuss the topic of Control Systems, which is an interdisciplinary engineering topic. Methods considered here will consist of both "Classical" control methods, and "Modern" control methods.

This open access book provides an introduction to uncertainty quantification in engineering. Starting with preliminaries on Bayesian statistics and Monte Carlo methods, it then focuses on reliability theory and simulation methods for complex systems.

The book covers the basic aspects of linear single loop feedback control theory. Explanations of the mathematical concepts used in classical control such as root loci, frequency response and stability methods are explained by making use of MATLAB.

The purpose of the book is to consider large and challenging multistage decision problems, which can be solved in principle by dynamic programming and optimal control, but their exact solution is computationally intractable.

This book mainly focuses on the safe control of robot manipulators. The control schemes are mainly developed based on dynamic neural network, which is an important theoretical branch of deep reinforcement learning.

Opening new directions in research in both discrete event dynamic systems as well as in stochastic control, this volume focuses on a wide class of control and of optimization problems over sequences of integer numbers.

The book provides a self-contained treatment on practical aspects of stochastic modeling and calculus including applications drawn from engineering, statistics, and computer science.

The aim of this book is to bring together reputable researchers from different countries in order to provide a comprehensive coverage of advanced and modern topics in flight control not yet reflected by other books.

The book presents several approaches in the key areas of practice for which the MATLAB software package was used. Topics covered include applications for: Motors, Power systems , Robots, Vehicles.

This book introduces new concepts and theories of Fuzzy Logic Control for the application and development of robotics and intelligent machines - how it will play a significant role in the development of intelligent robotic, machine, and mechatronics systems.