| Adaptive Mechanics 2002 Edition Contributor(s): Tertychny-Dauri, V. y. (Author) |
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ISBN: 1402003986 ISBN-13: 9781402003981 Publisher: Springer OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: February 2002 Annotation: This monograph is devoted to adaptive control for nonlinear mechanical systems. The mathematical analysis of the problem of synthesizing mechanical systems is accompanied by the derivation of special control algorithms, which have many immediate, practical applications. The aim of this book is to give detailed deductions and qualitative descriptions of hindrance-resistant adaptive control algorithms for the functioning of regulated devices with tuning parameters for the realization of a given property motion. Particular emphasis is placed upon the construction of stabilized, optimal, and suboptimal adaptive controls (strategics) in the form of inverse relations, without measuring the highest derivatives. Methods are investigated to obtain an indirect adaptive control of nonlinear mechanical systems in various problems on stabilization and optimization of motion in circumstances where the exterior bounded perturbations are lacking or acting, provided that the control system parameters execute an unknown smooth drift in time. |
| Additional Information |
| BISAC Categories: - Technology & Engineering | Automation - Mathematics | Applied - Medical |
| Dewey: 519 |
| LCCN: 2002277219 |
| Series: Mathematics and Its Applications |
| Physical Information: 1.11" H x 7.08" W x 9.16" (2.38 lbs) 507 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Over the last thirty years an abundance of papers have been writ- ten on adaptive dynamic control systems. Nevertheless, now it may be predicted with confidence that the adaptive mechanics, a new division, new line of inquiry in one of the violently developing fields of cybernetic mechanics, is emerging. The birth process falls far short of being com- pleted. There appear new problems and methods of their solution in the framework of adaptive nonlinear dynamics. Therefore, the present work cannot be treated as a certain polished, brought-to-perfection school textbook. More likely, this is an attempt to show a number of well- known scientific results in the parametric synthesis of nonlinear systems (this, strictly speaking, accounts for the availability of many reviews), as well as to bring to notice author's developments on this question undoubtedly modern and topical. The nonlinear, and practically La- grangian, systems cover a wide class of classical objects in theoretical mechanics, and primarily solid-body (robotic, gyroscopic, rocket-cosmic, and other) systems. And what is rather important, they have a direct trend to practical application. To indicate this discussion, I should like to notice that it does not touch upon the questions concerned with the linear and stochastic con- trolobjects. Investigated are only nonlinear deterministic systems being in the conditions when some system parameters are either unknown or beyond the reach of measurement, or they execute an unknown limited and fairly smooth drift in time. |