Furong Gao's Books

Industrial Process Identification and Control Design

Step-test and Relay-experiment-based Methods

By: Tao Liu,Furong Gao

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Industrial Process Identification and Control Design

Step-test and Relay-experiment-based Methods

By: Tao Liu,Furong Gao

Industrial Process Identification and Control Design is devoted to advanced identification and control methods for the operation of continuous-time processes both with and without time delay, in industrial and chemical engineering practice. The simple and practical step- or relay-feedback test is employed when applying the proposed identification techniques, which are classified in terms of common industrial process type: open-loop stable; integrating; and unstable, respectively. Correspondingly, control system design and tuning models that follow are presented for single-input-single-output processes. Furthermore, new two-degree-of-freedom control strategies and cascade control system design methods are explored with reference to independently-improving, set-point tracking and load disturbance rejection. Decoupling, multi-loop, and decentralized control techniques for the operation of multiple-input-multiple-output processes are also detailed. Perfect tracking of a desire output trajectory is realized using iterative learning control in uncertain industrial batch processes. All the proposed methods are presented in an easy-to-follow style, illustrated by examples and practical applications. This book will be valuable for researchers in system identification and control theory, and will also be of interest to graduate control students from process, chemical, and electrical engineering backgrounds and to practising control engineers in the process industry.

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Page Count

487

Publisher

Springer Science & Business Media

Published Date

ISBN 10

0857299778

ISBN 13

9780857299772

Injection Molding Process Control, Monitoring, and Optimization

By: Yi Yang,Xi Chen,Ningyun Lu,Furong Gao

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Injection Molding Process Control, Monitoring, and Optimization

By: Yi Yang,Xi Chen,Ningyun Lu,Furong Gao

Improvement of injection molding processes remains a topic of great interest in both industry and research institutions. This book introduces the analysis of the molding process from a systems technology point of view. It is divided into four parts: the first part provides general background to introduce the injection molding process, the second covers the control of the process, the third is on the monitoring technology, and the fourth is concerned with the optimization of the process. Most the results within are from real engineering implementations and experimental tests.

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Page Count

425

Publisher

Carl Hanser Verlag GmbH Co KG

Published Date

ISBN 10

1569906823

ISBN 13

9781569906828

Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes

By: Limin Wang,Ridong Zhang,Furong Gao

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Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes

By: Limin Wang,Ridong Zhang,Furong Gao

This book is based on the authors’ research on the stabilization and fault-tolerant control of batch processes, which are flourishing topics in the field of control system engineering. It introduces iterative learning control for linear/nonlinear single/multi-phase batch processes; iterative learning optimal guaranteed cost control; delay-dependent iterative learning control; and iterative learning fault-tolerant control for linear/nonlinear single/multi-phase batch processes. Providing important insights and useful methods and practical algorithms that can potentially be applied in batch process control and optimization, it is a valuable resource for researchers, scientists, and engineers in the field of process system engineering and control engineering.

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Page Count

328

Publisher

Springer

Published Date

ISBN 10

9811357900

ISBN 13

9789811357909

Model Predictive Control

Approaches Based on the Extended State Space Model and Extended Non-minimal State Space Model

By: Ridong Zhang,Anke Xue,Furong Gao

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Model Predictive Control

Approaches Based on the Extended State Space Model and Extended Non-minimal State Space Model

By: Ridong Zhang,Anke Xue,Furong Gao

This monograph introduces the authors’ work on model predictive control system design using extended state space and extended non-minimal state space approaches. It systematically describes model predictive control design for chemical processes, including the basic control algorithms, the extension to predictive functional control, constrained control, closed-loop system analysis, model predictive control optimization-based PID control, genetic algorithm optimization-based model predictive control, and industrial applications. Providing important insights, useful methods and practical algorithms that can be used in chemical process control and optimization, it offers a valuable resource for researchers, scientists and engineers in the field of process system engineering and control engineering.

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