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Automation and Control Engineering #50: Tensor Product Model Transformation in Polytopic Model-Based Control

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Synopses & Reviews

Synopsis:

Authoritative and highly focused, this reference describes a novel method in multi-objective control system design with examples drawn from aerospace engineering and a free MATLAB toolbox for easy implementation. It unites two well-known areas of multi-objective control system design quasi Linear Parameter Varying (LPV) models and the Linear Matrix Inequality (LMI) method. The book introduces a methodology to automatically generate from any given quasi LPV model a set of invariant, canonical and convex poly topic representations that are readily executable for LMI based system control design.

Product Details

ISBN:
9781439818169
Author:
Baranyi, P
Publisher:
CRC Press
Author:
Yam, Yeung
Author:
Varlaki, Peter
Author:
Baranyi, Peter
Subject:
Electricity
Subject:
Mechanical
Subject:
Electricity-General Electricity
Copyright:
Publication Date:
20130831
Binding:
Hardcover
Language:
English
Pages:
250

Related Subjects

Engineering » Mechanical Engineering » General
Health and Self-Help » Health and Medicine » Medical Specialties
Reference » Science Reference » Technology
Science and Mathematics » Electricity » General Electricity

Automation and Control Engineering #50: Tensor Product Model Transformation in Polytopic Model-Based Control New Hardcover
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$87.07 In Stock
Product details 250 pages CRC Press - English 9781439818169 Reviews:
"Synopsis" by , Authoritative and highly focused, this reference describes a novel method in multi-objective control system design with examples drawn from aerospace engineering and a free MATLAB toolbox for easy implementation. It unites two well-known areas of multi-objective control system design quasi Linear Parameter Varying (LPV) models and the Linear Matrix Inequality (LMI) method. The book introduces a methodology to automatically generate from any given quasi LPV model a set of invariant, canonical and convex poly topic representations that are readily executable for LMI based system control design.
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