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Automation and Control Engineering


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Control of Nonlinear Systems via PI, PD and PID: Stability and Performance

Control of Nonlinear Systems via PI, PD and PID: Stability and Performance

1st Edition

Yong-Duan Song
October 15, 2018

The purpose of this book is to give an exposition of recently adaptive PI/PD/PID control design for nonlinear systems. Since PI/PD/PID control is simple in structure and inexpensive in implementation, it has been undoubtedly the most widely employed controller in industry. In fact, PI/PD/PID...

Discrete-Time Recurrent Neural Control: Analysis and Applications

Discrete-Time Recurrent Neural Control: Analysis and Applications

1st Edition

Edgar N. Sanchez
September 04, 2018

The book presents recent advances in the theory of neural control for discrete-time nonlinear systems with multiple inputs and multiple outputs. The simulation results that appear in each chapter include rigorous mathematical analyses, based on the Lyapunov approach, to establish its properties....

Adaptive and Fault-Tolerant Control of Underactuated Nonlinear Systems

Adaptive and Fault-Tolerant Control of Underactuated Nonlinear Systems

1st Edition

Jiangshuai Huang, Yong-Duan Song
December 29, 2017

The purpose of the book is to provide an exposition of recently developed adaptive and fault-tolerant control of underactuated nonlinear systems. Underactuated systems are abundant in real life, ranging from landing vehicles to surface ships and underwater vehicles to spacecrafts. For the tracking...

Electric and Plug-in Hybrid Vehicle Networks: Optimization and Control

Electric and Plug-in Hybrid Vehicle Networks: Optimization and Control

1st Edition

Emanuele Crisostomi, Robert Shorten, Sonja Stüdli, Fabian Wirth
November 15, 2017

This book explores the behavior of networks of electric and hybrid vehicles. The topics that are covered include: energy management issues for aggregates of plug-in vehicles; the design of sharing systems to support electro-mobility; context awareness in the operation of electric and hybrid...

Optimal and Robust Scheduling for Networked Control Systems

Optimal and Robust Scheduling for Networked Control Systems

1st Edition

Stefano Longo, Tingli Su, Guido Herrmann, Phil Barber
October 12, 2017

Optimal and Robust Scheduling for Networked Control Systems tackles the problem of integrating system components—controllers, sensors, and actuators—in a networked control system. It is common practice in industry to solve such problems heuristically, because the few theoretical results available...

Deterministic Learning Theory for Identification, Recognition, and Control

Deterministic Learning Theory for Identification, Recognition, and Control

1st Edition

Cong Wang, David J. Hill
October 06, 2017

Deterministic Learning Theory for Identification, Recognition, and Control presents a unified conceptual framework for knowledge acquisition, representation, and knowledge utilization in uncertain dynamic environments. It provides systematic design approaches for identification, recognition, and...

System Modeling and Control with Resource-Oriented Petri Nets

System Modeling and Control with Resource-Oriented Petri Nets

1st Edition

MengChu Zhou, Naiqi Wu
June 14, 2017

Petri nets are widely used in modeling, analysis, and control of discrete event systems arising from manufacturing, transportation, computer and communication networks, and web service systems. However, Petri net models for practical systems can be very large, making it difficult to apply such...

Synchronization and Control of Multiagent Systems

Synchronization and Control of Multiagent Systems

1st Edition

Dong Sun
June 14, 2017

Multiple intelligent agent systems are commonly used in research requiring complex behavior. Synchronization control provides an advantage in solving the problem of multi-agent coordination. This book focuses on the use of synchronization control to coordinate the group behavior of multiple agents....

Subspace Learning of Neural Networks

Subspace Learning of Neural Networks

1st Edition

Jian Cheng Lv, Zhang Yi, Jiliu Zhou
June 14, 2017

Using real-life examples to illustrate the performance of learning algorithms and instructing readers how to apply them to practical applications, this work offers a comprehensive treatment of subspace learning algorithms for neural networks. The authors summarize a decade of high quality...

Analysis and Synthesis of Fuzzy Control Systems: A Model-Based Approach

Analysis and Synthesis of Fuzzy Control Systems: A Model-Based Approach

1st Edition

Gang Feng
June 14, 2017

Fuzzy logic control (FLC) has proven to be a popular control methodology for many complex systems in industry, and is often used with great success as an alternative to conventional control techniques. However, because it is fundamentally model free, conventional FLC suffers from a lack of tools...

Networked Control Systems with Intermittent Feedback

Networked Control Systems with Intermittent Feedback

1st Edition

Domagoj Tolić, Sandra Hirche
April 10, 2017

Networked Control Systems (NCSs) are spatially distributed systems for which the communication between sensors, actuators and controllers is realized by a shared (wired or wireless) communication network. NCSs offer several advantages, such as reduced installation and maintenance costs, as well as...

Anti-Disturbance Control for Systems with Multiple Disturbances

Anti-Disturbance Control for Systems with Multiple Disturbances

1st Edition

Lei Guo, Songyin Cao
March 30, 2017

Developing the essential theory for architecting and tackling issues faced during complex realistic engineering problems, this volume focuses on enhanced anti-disturbance control and filtering theory and applications. The book specifically addresses the novel disturbance observer based control (...

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