8 Best Books on Computer Control of Machines and Processes

We have compiled a list of the Best Reference Books on Computer Control of Machines and Processes, which are used by students of top universities, and colleges. This will help you choose the right book depending on if you are a beginner or an expert. Here is the complete list of Computer Control of Machines and Processes Books with their authors, publishers, and an unbiased review of them as well as links to the Amazon website to directly purchase them. If permissible, you can also download the free PDF books on Computer Control of Machines and Processes below.

1."Distributed Control Applications" by Alois Zoitl and Thomas Strasser “Distributed Control Applications: Guidelines, Design Patterns, and Application Examples with the IEC 61499 (Industrial Information Technology) 1st Edition” Book Review: The implementation and design of distributed control systems are extensively covered in this book, serving as a comprehensive guide. It covers various topics such as distributed control fundamentals, communication networks, software engineering, and system integration, as well as maintenance and operation. The book provides practical case studies and examples, along with advice on selecting software and hardware components, and best practices for system integration and deployment. It is an essential resource for engineers, practitioners, and researchers working on distributed control system projects.
Buy-this-Book (India)	Buy-this-book (US)
2."Computer Control of Machines and Processes" by John G Bollinger and Neil A Duffie
Buy-this-Book (India)	Buy-this-book (US)
3."Learning Representation and Control in Markov Decision Processes (Foundations and Trends in Machine Learning)" by Sridhar Mahadevan “Learning Representation and Control in Markov Decision Processes: New Frontiers: 3 (Foundations and Trends in Machine Learning)” Book Review: The book provides a thorough and up-to-date guide to machine learning, focusing on the concepts of representation and control in Markov decision processes, a widely used framework for decision-making in artificial intelligence. The chapters cover a range of topics, including introductory concepts, background and preliminaries, representations for Markov decision processes, algorithms for solving them, control algorithms for large Markov decision processes, generalizations and extensions, and applications of the framework. The book is a valuable resource for students, researchers, and practitioners seeking a comprehensive understanding of machine learning and decision-making in AI.
Buy-this-Book (India)
4."Towards the Internet of Services: The THESEUS Research Program (Cognitive Technologies)" by Wolfgang Wahlster and Hermann Friedrich “Towards the Internet of Services: The THESEUS Research Program (Cognitive Technologies) 2014th Edition” Book Review: The focus of this book is on the THESEUS Research Program, which sought to bring the concept of the Internet of Services (IoS) to fruition in Germany. The program aimed to create solutions for the necessary technologies, architectures, and service infrastructures in order to make the IoS a reality. The book delves into the program’s four primary research areas, which include Service Discovery and Composition, Semantic Service Technologies, Service Security and Quality, and Service Infrastructures. Additionally, the book examines the research findings of the program and provides real-world case studies to illustrate the practical application of these findings in various domains.
Buy-this-Book (India)	Buy-this-book (US)
5."Modeling and Advanced Control for Process Industries: Applications to Paper Making Processes (Advances in Industrial Control)" by Ming Rao and Qijun Xia “Modeling and Advanced Control for Process Industries: Applications to Paper Making Processes (Advances in Industrial Control)” Book Review: This book is a valuable resource for process control engineers and researchers interested in modeling and controlling papermaking processes. It provides a comprehensive overview of papermaking processes, process modeling, control techniques, and case studies of industrial applications. The book covers various topics such as dynamic modeling of paper machines, statistical process control, model predictive control (MPC), adaptive control, and control of wet-end processes. Additionally, it includes practical examples and case studies that demonstrate the effectiveness of these control techniques in real-world scenarios.
Buy-this-Book (India)	Buy-this-book (US)
6."Identification of Multivariable Industrial Processes: for Simulation, Diagnosis and Control (Advances in Industrial Control)" by Yucai Zhu and Ton Backx “Identification of Multivariable Industrial Processes: for Simulation, Diagnosis and Control (Advances in Industrial Control)” Book Review: This book offers a thorough review of techniques for identifying complex industrial processes. It covers various topics such as linear and nonlinear system identification, subspace identification, state-space identification, and model validation. Furthermore, the book presents practical case studies of multivariable industrial processes like distillation columns, heat exchangers, and polymerization reactors. Additionally, the book discusses model-based control, fault detection, and process diagnosis. This book is an invaluable resource for engineers and researchers working on modeling and control of industrial processes.
Buy-this-Book (India)	Buy-this-book (US)
7."Reinforcement Learning: State-of-the-Art (Adaptation, Learning, and Optimization)" by Marco Wiering and Martijn van Otterlo “Reinforcement Learning: State-of-the-Art (Adaptation, Learning, and Optimization (12)) 2012th Edition” Book Review: This book offers a comprehensive introduction to reinforcement learning, which is a machine learning paradigm widely used in optimization, game playing, and robotics. The book covers various topics such as Monte Carlo methods, bandit problems, temporal-difference learning, policy gradient methods, deep reinforcement learning, multi-agent reinforcement learning, and function approximation. To help readers apply these techniques in practice, each chapter includes examples and exercises. Written by Marco Wiering and Martijn van Otterlo, both experts in the field of reinforcement learning, this book is an excellent resource for anyone interested in this field. advertisement advertisement
Buy-this-Book (India)	Buy-this-book (US)
8."Computer Controlled Systems: Analysis and Design with Process-Orientated Models" by Lampe Rosenwasser “Computer Controlled Systems: Analysis and Design with Process-Orientated Models” Book Review: This book provides a detailed exploration of computer-controlled systems, emphasizing the analysis and design of process-oriented models. It introduces novel methods for mathematical description, analysis, and design of digital control systems, and delves into specific aspects of the interaction between continuous time and discrete time processes. Furthermore, the book covers the utilization of signal processors, microcontrollers, and PCs in filtering and controlling continuous time processes or plants. It is an invaluable resource for engineers, researchers, and students seeking to enhance their understanding of computer-controlled systems.
Buy-this-Book (India)	Buy-this-book (US)

We have put a lot of effort into researching the best books on Computer Control of Machines and Processes and came out with a recommended list and their reviews. If any more book needs to be added to this list, please email us. We are working on free pdf downloads for books on Computer Control of Machines and Processes and will publish the download link here. Fill out this Computer Control of Machines and Processes books pdf download" request form for download notification.