7 edition of Optimal control, stabilization and nonsmooth analysis found in the catalog.
Includes bibliographical references.
|Statement||M. de Queiroz, M. Malisoff, P. Wolenski (eds.).|
|Series||Lecture notes in control and information sciences ;, 301|
|Contributions||Queiroz, Marcio S. de., Malisoff, M., Wolenski, P.|
|LC Classifications||QA402.3 .O6635 2004|
|The Physical Object|
|Pagination||xi, 361 p. :|
|Number of Pages||361|
|LC Control Number||2004103120|
In this book a general theory of nonsmooth analysis and geometry will be developed which, with its associated techniques, is capable of successful application to the spectrum of problems encountered in optimization. This leads not only to new results but to . The convergence analysis of the global nonsmooth Newton’s method is not yet completed and will be omitted here. Instead some numerical results are presented showing that the globalized nonsmooth Newton’s method works very well. 5. Numerical results. We illustrate the method for the Rayleigh problem, cf. Maurer and Augustin, p. Cited by:
Functional Analysis, Calculus of Variations and Optimal Control is intended to support several different courses at the first-year or second-year graduate level, on functional analysis, on the calculus of variations and optimal control, or on some combination. For this reason, it has been organized with customization in : Springer London. The aim of this volume is to provide a synthetic account of past research, to give an up-to-date guide to current intertwined developments of control theory and nonsmooth analysis, and also to point to future research directions. Sample Chapter(s) Chapter 1: Multiscale Singular Perturbations and Homogenization of Optimal Control Problems ( KB).
A. Smyshlyaev, E. Cerpa, and M. Krstic, “Boundary stabilization of a 1-D wave equation with in-domain antidamping,” SIAM Journal of Control and Optimization, vol. 48, pp. , A. Smyshlyaev and M. Krstic, “Boundary control of an anti-stable wave equation with anti-damping on the uncontrolled boundary,” Systems and. Lyapunov functions and feedback in nonlinear control, in "Optimal Control, Stabilization, and Nonsmooth Analysis", M.S. de Queiroz, M. Malisoff and P. Wolenski (Eds.), Lecture Notes in Control and Information Sciences , pp. , Springer-Verlag
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Optimal Control, Stabilization and Nonsmooth Analysis. Editors: de Queiroz, Marcio S., Malisoff, Michael, These include necessary and sufficient conditions in optimal control, Lyapunov characterizations of stability, input-to-state stability, the construction of feedback mechanisms, viscosity solutions of Hamilton-Jacobi equations.
Optimal Control, Stabilization and Nonsmooth Analysis. and other topics of interest to mathematicians and control engineers.
The book has a strong interdisciplinary component and was designed to facilitate the interaction between leading mathematical experts in nonsmooth analysis and engineers stabilization and nonsmooth analysis book are increasingly using nonsmooth analytic.
Optimal Control, Stabilization and Nonsmooth Analysis (Lecture Notes in Control and Information Sciences) [Wolenski, Peter, de Queiroz, Marcio S., Malisoff, Michael] on *FREE* shipping on qualifying offers. Optimal Control, Stabilization and Nonsmooth Analysis (Lecture Notes in Control and Information Sciences).
Optimal control, stabilization and nonsmooth analysis Marcio S. de Queiroz, Michael Malisoff, Peter Wolenski This edited book contains selected papers presented at the Louisiana Conference on Mathematical Control Theory (MCT'03), which brought together over 35 prominent world experts in mathematical control theory and its applications.
Get this from a library. Optimal control, stabilization and nonsmooth analysis. [Marcio S de Queiroz; M Malisoff; Peter Robert Wolenski;] -- This edited book contains selected papers presented at the Louisiana Conference on Mathematical Control Theory (MCT'03), which brought together over 35 prominent world experts in mathematical control.
COVID Resources. Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this ’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle.
intrinsically nonsmooth data arise naturally in a variety of optimal control settings. Generally, nonsmooth analysis enters the picture as soon as we consider problems which are truly nonlinear or nonlinearizable, whether for deriving or expressing necessary conditions, in applying suﬃcient conditions, or in studying the sensitivity of the.
The whole is rounded off with a self-contained introduction to the theory of control of ordinary differential equations. The authors have incorporated a number of new results which clarify the relationships between the different schools of thought in the subject, with the aim of making nonsmooth analysis accessible to a wider audience.3/5(3).
Optimal Control Problem Discrete Approximation Lagrange Condition Admissible Trajectory Feasible Pair These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves. Nonsmooth analysis and control theory [Book Review] On the stabilization problem for nonholonomic distributions using specific results of nonsmooth analysis, of Author: Benedetto Piccoli.
Mathematical Reviews said of this book that it was 'destined to become a classical reference.' This book has appeared in Russian translation and has been praised both for its lively exposition and its fundamental contributions. The author first develops a general theory of nonsmooth analysis and geometry which, together with a set of associated techniques, has had a 5/5(1).
The stabilization problem: AGAS and SRS feedbacks In book: Optimal Control, Stabilization and Nonsmooth Analysis (pp) using specific. Jiang, Z-PControl of interconnected nonlinear systems: A small-gain viewpoint.
in M de Queiroz, M Malisoff & P Wolenski (eds), Optimal control, stabilization, and nonsmooth analysis. Lecture Notes in Control and Information Sciences, vol.
Cited by: 7. Geometric Control and Nonsmooth Analysis (Series on Advances in Mathematics for Applied Sciences) Fabio Ancona The aim of this volume is to provide a synthetic account of past research, to give an up-to-date guide to current intertwined developments of control theory and nonsmooth analysis, and also to point to future research directions.
With regards to nonsmooth optimal control, FH Clarke’s book Optimization and Nonsmooth Analysis (Wiley, New York, ), which was crucial for winning an audience for the field, remains the standard reference. The present book extends the range of topics covered therein by including some contemporary evergreen problems which are still at the.
This book has appeared in Russian translation and has been praised both for its lively exposition and its fundamental contributions. The author first develops a general theory of nonsmooth analysis and geometry which, together with a set of associated techniques, has had a Mathematical Reviews said of this book that it was 'destined to become a /5(3).
The topic of this thesis is stability and sensitivity analysis in optimal control of partial di erential equations. Stability refers to the continuous behavior of optimal solutions under perturbations of the problem data, while sensitivity indicates a di erentiable dependence.
This thesis is. Optimal control theory is a branch of applied mathematics that deals with finding a control law for a dynamical system over a period of time such that an objective function is optimized. It has numerous applications in both science and engineering.
For example, the dynamical system might be a spacecraft with controls corresponding to rocket thrusters, and the objective might be to. Nonsmooth analysis and control theory. Abstract () Bang-bang hybrid stabilization of perturbed double-integrators, Automatica (Journal of IFAC), Improved Sensitivity Relations in State Constrained Optimal Control, Applied Mathematics and.
(ii) How can we characterize an optimal control mathematically. (iii) How can we construct an optimal control. These turn out to be sometimes subtle problems, as the following collection of examples illustrates.
EXAMPLES EXAMPLE 1: CONTROL OF PRODUCTION AND CONSUMPTION. Suppose we own, say, a factory whose output we can control. Let us begin toFile Size: KB. This IMA Volume in Mathematics and its Applications NONSMOOTH ANALYSIS AND GEOMETRIC METHODS IN DETERMINISTIC OPTIMAL CONTROL is based on the proceedings of a workshop that was an integral part of the IMA program on "Control Theory.
" The purpose of this workshop was to concentrate on.NONSMOOTH ANALYSIS AND OPTIMIZATION lecture notes Christian Clason March 6, @ h˛ps:// arXivv2  6 Mar File Size: 1MB.A Mayer problem of optimal control, whose dynamic constraint is given by a convex-valued differential inclusion, is considered.
Both state and endpoint constraints are involved. Necessary conditions are proved incorporating the Hamiltonian inclusion, the Euler–Lagrange inclusion, and the Weierstrass–Pontryagin maximum condition. These results weaken the hypotheses and Cited by: