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Informatics in Control, Automation and Robotics - 13th International Conference, ICINCO 2016 Lisbon, Portugal, 29-31 July, 2016... Informatics in Control, Automation and Robotics - 13th International Conference, ICINCO 2016 Lisbon, Portugal, 29-31 July, 2016 (Hardcover, 1st ed. 2018)
Kurosh Madani, Dimitri Peaucelle, Oleg Gusikhin
R2,991 Discovery Miles 29 910 Ships in 10 - 15 working days

The book addresses the latest advances in research and development in the field of informatics in control, robotics and automation. With more than twenty revised and extended articles covering the theoretical aspects as well as applications and their implementation, it offers a factual and well-balanced overview of the state of the art in the field. In addition, it highlights the trends in control of intelligent robots. The book is an up-to-date source of information and inspiration for researchers, engineers and PhD students.

S-Variable Approach to LMI-Based Robust Control (Paperback, Softcover reprint of the original 1st ed. 2015): Yoshio Ebihara,... S-Variable Approach to LMI-Based Robust Control (Paperback, Softcover reprint of the original 1st ed. 2015)
Yoshio Ebihara, Dimitri Peaucelle, Denis Arzelier
R3,579 Discovery Miles 35 790 Ships in 10 - 15 working days

This book shows how the use of S-variables (SVs) in enhancing the range of problems that can be addressed with the already-versatile linear matrix inequality (LMI) approach to control can, in many cases, be put on a more unified, methodical footing. Beginning with the fundamentals of the SV approach, the text shows how the basic idea can be used for each problem (and when it should not be employed at all). The specific adaptations of the method necessitated by each problem are also detailed. The problems dealt with in the book have the common traits that: analytic closed-form solutions are not available; and LMIs can be applied to produce numerical solutions with a certain amount of conservatism. Typical examples are robustness analysis of linear systems affected by parametric uncertainties and the synthesis of a linear controller satisfying multiple, often  conflicting, design specifications. For problems in which LMI methods produce conservative results, the SV approach is shown to achieve greater accuracy. The authors emphasize the simplicity and easy comprehensibility of the SV approach and show how it can be implemented in programs without difficulty so that its power becomes readily apparent. The S-variable Approach to LMI-based Robust Control is a useful reference for academic control researchers, applied mathematicians and graduate students interested in LMI methods and convex optimization and will also be of considerable assistance to practising control engineers faced with problems of conservatism in their systems and controllers.

S-Variable Approach to LMI-Based Robust Control (Hardcover, 2015 ed.): Yoshio Ebihara, Dimitri Peaucelle, Denis Arzelier S-Variable Approach to LMI-Based Robust Control (Hardcover, 2015 ed.)
Yoshio Ebihara, Dimitri Peaucelle, Denis Arzelier
R3,892 R3,609 Discovery Miles 36 090 Save R283 (7%) Ships in 12 - 19 working days

This book shows how the use of S-variables (SVs) in enhancing the range of problems that can be addressed with the already-versatile linear matrix inequality (LMI) approach to control can, in many cases, be put on a more unified, methodical footing. Beginning with the fundamentals of the SV approach, the text shows how the basic idea can be used for each problem (and when it should not be employed at all). The specific adaptations of the method necessitated by each problem are also detailed. The problems dealt with in the book have the common traits that: analytic closed-form solutions are not available; and LMIs can be applied to produce numerical solutions with a certain amount of conservatism. Typical examples are robustness analysis of linear systems affected by parametric uncertainties and the synthesis of a linear controller satisfying multiple, often conflicting, design specifications. For problems in which LMI methods produce conservative results, the SV approach is shown to achieve greater accuracy. The authors emphasize the simplicity and easy comprehensibility of the SV approach and show how it can be implemented in programs without difficulty so that its power becomes readily apparent. The S-variable Approach to LMI-based Robust Control is a useful reference for academic control researchers, applied mathematicians and graduate students interested in LMI methods and convex optimization and will also be of considerable assistance to practising control engineers faced with problems of conservatism in their systems and controllers.

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