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03751nam a2200529 4500 |
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978-981-13-0083-7 |
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DE-He213 |
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20191220130829.0 |
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180814s2019 si | s |||| 0|eng d |
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|a 9789811300837
|9 978-981-13-0083-7
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|a 10.1007/978-981-13-0083-7
|2 doi
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|d GrThAP
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|a TJ212-225
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|a 629.8
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|a Zhang, Ridong.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Model Predictive Control
|h [electronic resource] :
|b Approaches Based on the Extended State Space Model and Extended Non-minimal State Space Model /
|c by Ridong Zhang, Anke Xue, Furong Gao.
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|a 1st ed. 2019.
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|a Singapore :
|b Springer Singapore :
|b Imprint: Springer,
|c 2019.
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|a XV, 137 p. 28 illus., 25 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
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|a text file
|b PDF
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|a Introduction -- Model Predictive Control Based on Extended State Space Model -- Predictive Functional Control Based on Extended State Space Model -- Model Predictive Control Based on Extended Non-Minimal State Space Model -- Predictive Functional Control Based on Extended Non-minimal State Space Model -- Model Predictive Control Under Constraints -- PID Control Using Extended Non-minimal State Space Model Optimization -- Closed-loop System Performance Analysis -- Model Predictive Control Performance Optimized by Genetic Algorithm -- Industrial Application -- Further Ideas on MPC and PFC Using Relaxed Constrained Optimization.
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|a 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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|a Control engineering.
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|a System theory.
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|a Calculus of variations.
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|a Energy efficiency.
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|a Control and Systems Theory.
|0 http://scigraph.springernature.com/things/product-market-codes/T19010
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|a Systems Theory, Control.
|0 http://scigraph.springernature.com/things/product-market-codes/M13070
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650 |
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|a Calculus of Variations and Optimal Control; Optimization.
|0 http://scigraph.springernature.com/things/product-market-codes/M26016
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650 |
2 |
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|a Energy Efficiency.
|0 http://scigraph.springernature.com/things/product-market-codes/118000
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700 |
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|a Xue, Anke.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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700 |
1 |
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|a Gao, Furong.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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2 |
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|a SpringerLink (Online service)
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773 |
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|t Springer eBooks
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776 |
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|i Printed edition:
|z 9789811300820
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776 |
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|i Printed edition:
|z 9789811300844
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|i Printed edition:
|z 9789811343261
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|u https://doi.org/10.1007/978-981-13-0083-7
|z Full Text via HEAL-Link
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|a ZDB-2-INR
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|a Intelligent Technologies and Robotics (Springer-42732)
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