Read e-book online Adaptive control tutorial PDF

By Petros Ioannou, Barýp Fidan

ISBN-10: 0898716152

ISBN-13: 9780898716153

Designed to fulfill the desires of a large viewers with no sacrificing mathematical intensity and rigor, Adaptive keep an eye on educational provides the layout, research, and alertness of a wide selection of algorithms that may be used to control dynamical platforms with unknown parameters. Its tutorial-style presentation of the basic options and algorithms in adaptive regulate make it appropriate as a textbook.

Adaptive regulate educational is designed to serve the desires of 3 unique teams of readers: engineers and scholars attracted to studying easy methods to layout, simulate, and enforce parameter estimators and adaptive keep watch over schemes with no need to completely comprehend the analytical and technical proofs; graduate scholars who, as well as reaching the aforementioned ambitions, additionally are looking to comprehend the research of easy schemes and get an idea of the stairs inquisitive about extra advanced proofs; and complex scholars and researchers who are looking to learn and comprehend the main points of lengthy and technical proofs with an eye fixed towards pursuing study in adaptive regulate or comparable subject matters.

The authors in attaining those a number of goals by means of enriching the publication with examples demonstrating the layout systems and easy research steps and via detailing their proofs in either an appendix and electronically on hand supplementary fabric; on-line examples also are to be had. an answer guide for teachers will be bought by way of contacting SIAM or the authors.

This ebook could be important to masters- and Ph.D.-level scholars in addition to electric, mechanical, and aerospace engineers and utilized mathematicians.

Preface; Acknowledgements; checklist of Acronyms; bankruptcy 1: creation; bankruptcy 2: Parametric types; bankruptcy three: Parameter identity: non-stop Time; bankruptcy four: Parameter id: Discrete Time; bankruptcy five: Continuous-Time version Reference Adaptive regulate; bankruptcy 6: Continuous-Time Adaptive Pole Placement keep watch over; bankruptcy 7: Adaptive regulate for Discrete-Time platforms;

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Download e-book for kindle: Adaptive Control Tutorial (Advances in Design and Control) by Petros Ioannou, Barýp Fidan

Designed to satisfy the wishes of a large viewers with out sacrificing mathematical intensity and rigor, Adaptive regulate instructional offers the layout, research, and alertness of a large choice of algorithms that may be used to regulate dynamical platforms with unknown parameters. Its tutorial-style presentation of the elemental innovations and algorithms in adaptive regulate make it compatible as a textbook.

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2) as the linear "dynamic"parametric model (DPM). The importance of the SPM and DPM as compared to other possible parameterizations is that the unknown parameter vector 9* appears linearly. 2) as linear in the parameters parameterizations. As we will show later, this property is significant in designing online PI algorithms whose global convergence properties can be established analytically. 2) using a stable proper filter and still maintain the linear in the parameters property and the form of SPM, DPM.

As demonstrated above for the two-parameter example, a constant input u = CQ > 0 does not guarantee exponential stability. We answer the above questions in the following section. 4 Persistence of Excitation and Sufficiently Rich Inputs We start with the following definition. 1. The vector 0 e Kn is PE with level OCQ if it satisfies for some (XQ > 0, TQ > 0 and Vt > 0. 32 Chapters. Parameter Identification: Continuous Time Since 07 is always positive semidefinite, the PE condition requires that its integral over any interval of time of length T0 is a positive definite matrix.

3. 4. Persistence of Excitation and Sufficiently Rich Inputs 33 Now and where Choosing TQ — — it follows that and which is a positive definite matrix. We can verify that for z which implies that is PE. Let us consider the plant model where b is the only unknown parameter. A suitable parametric model for estimating b is where 2 _ -v +4 . In this case 0 € 'R. 3. 3 to choose a sufficiently rich signal u that guarantees 0 to be PE. In this case, 34 Chapters. 3 for the case of n — 1, we should have for any COQ ^ 0.

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Adaptive control tutorial by Petros Ioannou, Barýp Fidan

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