Quantitative Process Control Theory by Weidong Zhang
Quantitative Process Control Theory explains how to solve industrial system problems using a novel control system design theory. This easy-to-use theory does not require designers to choose a weighting function and enables the controllers to be designed or tuned for quantitative engineering performance indices such as overshoot.
In each chapter, a summary highlights the main problems and results and exercises improve and test your understanding of the material. Mathematical proofs are provided for almost all the results while examples are based on actual situations in industrial plants involving a paper-making machine, heat exchanger, hot strip mill, maglev, nuclear reactor, distillation column/heavy oil fractionator, jacket-cooled reactor, missile, helicopter/plane, and anesthesia.
Developed from the author’s many years of research, this book takes a unique, practical approach for efficiently solving single-input and single-output (SISO) and multiple-input and multiple-output (MIMO) control system design issues for quantitative performance indices. With much of the material classroom-tested, the text is suitable for advanced undergraduate and graduate students in engineering, beginning researchers in robust control, and more seasoned engineers wanting to learn new design techniques.
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Chaos in Automatic Control
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Advances in Missile Guidance, Control, and Estimation
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Robust Formation Control for Multiple Unmanned Aerial Vehicles
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Analysis and Synthesis of Fuzzy Control Systems
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Control of Nonlinear Systems via PI, PD and PID
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Wireless Ad hoc and Sensor Networks
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Modeling and Control of Complex Systems
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Distributed Adaptive Consensus Control of Uncertain Multi-Agent Systems
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Optimal Event-Triggered Control Using Adaptive Dynamic Programming
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Control of Nonlinear Systems
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Maneuverable Formation Control in Constrained Space
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Reinforcement Learning and Dynamic Programming Using Function Approximators
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Modeling and Control for Micro/Nano Devices and Systems
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Sliding Mode Control in Electro-Mechanical Systems
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System Modeling and Control with Resource-Oriented Petri Nets
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Variable Gain Control and Its Applications in Energy Conversion
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Optimal Control
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Cooperative Control of Multi-Agent Systems
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Multi-Agent Systems
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Deterministic Learning Theory for Identification, Recognition, and Control
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Synchronization and Control of Multiagent Systems
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Anti-Disturbance Control for Systems with Multiple Disturbances
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Tensor Product Model Transformation in Polytopic Model-Based Control
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Fundamentals in Modeling and Control of Mobile Manipulators
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Intelligent Diagnosis and Prognosis of Industrial Networked Systems
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Nonlinear Control of Dynamic Networks
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End-to-End Adaptive Congestion Control in TCP/IP Networks
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Electric and Plug-in Hybrid Vehicle Networks
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Fuzzy Controller Design
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Modern Control Engineering
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Nonlinear Control of Electric Machinery
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Discrete-Time Recurrent Neural Control
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Nonlinear Pinning Control of Complex Dynamical Networks
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Classical Feedback Control with Nonlinear Multi-Loop Systems
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Adaptive Control of Dynamic Systems with Uncertainty and Quantization
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Optimal Networked Control Systems with MATLAB
Weidong Zhang is a professor at Shanghai Jiaotong University. Dr. Zhang has authored more than 200 refereed papers and holds 15 patents. His research interests include control theory and its applications, embedded systems, and wireless sensor networks.
| SKU | Unavailable |
| ISBN 13 | 9781138077539 |
| ISBN 10 | 1138077534 |
| Title | Quantitative Process Control Theory |
| Author | Weidong Zhang |
| Series | Automation And Control Engineering |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | CRC Press |
| Year published | 2017-03-29 |
| Number of pages | 472 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |