Economic model predictive control : theory, formulations and chemical process applications /
This book presents general methods for the design of economic model predictive control (EMPC) systems for broad classes of nonlinear systems that address key theoretical and practical considerations including recursive feasibility, closed-loop stability, closed-loop performance, and computational ef...
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Main Authors: | |
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Corporate Authors: | |
Group Author: | ; |
Published: |
Springer International Publishing : Imprint: Springer,
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Publisher Address: | Cham : |
Publication Dates: | 2017. |
Literature type: | eBook |
Language: | English |
Series: |
Advances in Industrial Control,
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Subjects: | |
Online Access: |
http://dx.doi.org/10.1007/978-3-319-41108-8 |
Summary: |
This book presents general methods for the design of economic model predictive control (EMPC) systems for broad classes of nonlinear systems that address key theoretical and practical considerations including recursive feasibility, closed-loop stability, closed-loop performance, and computational efficiency. Specifically, the book proposes: Lyapunov-based EMPC methods for nonlinear systems; two-tier EMPC architectures that are highly computationally efficient; and EMPC schemes handling explicitly uncertainty, time-varying cost functions, time-delays and multiple-time-scale dynamics. The prop |
Carrier Form: | 1 online resource(xxiv,292pages): illustrations. |
ISBN: | 9783319411088 |
Index Number: | TJ212 |
CLC: | F201 |
Contents: | Introduction -- Background on Nonlinear Systems, Control, and Optimization -- Brief Overview of EMPC Methods and some Preliminary Results -- Lyapunov-Based EMPC -- State Estimation and EMPC -- Two-Layer EMPC Systems -- EMPC Systems: Computational Efficiency and Real-Time Implementation. |