4 edition of **Optimal control of complex structures** found in the catalog.

- 299 Want to read
- 36 Currently reading

Published
**2002**
by Birkhäuser Verlag in Basel, Boston
.

Written in English

- Mathematical optimization -- Congresses.,
- Control theory -- Congresses.,
- Differential equations, Partial -- Congresses.

**Edition Notes**

Includes bibliographical references.

Statement | K.-H. Hoffmann ... [et al.], editors. |

Genre | Congresses. |

Series | International series of numerical mathematics -- v. 139 |

Contributions | Hoffmann, K.-H., International Conference on Optimal Control of Complex Structures (2000 : Oberwolfach, Germany) |

Classifications | |
---|---|

LC Classifications | QA402.5 .O578 2002 |

The Physical Object | |

Pagination | viii, 278 p. : |

Number of Pages | 278 |

ID Numbers | |

Open Library | OL22466148M |

ISBN 10 | 3764366826, 0817666826 |

Sensitivity Analysis and Real-Time Control of Nonlinear Optimal Control Systems via Nonlinear Programming Methods. Variational Calculus, Optimal Control and Applications, Cited by: 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 reach the.

REINFORCEMENT LEARNING AND OPTIMAL CONTROL BOOK, Athena Scientific, July The book is available from the publishing company Athena Scientific, or from . Click here for an extended lecture/summary of the book: Ten Key Ideas for Reinforcement Learning and Optimal Control. The purpose of the book is to consider large and challenging multistage decision problems, which can . Vibration Analysis of Structures by Component Mode Substitution. Optimal control of distributed parameter elastic systems. A general substructure synthesis method for the dynamic simulation of complex structures. Journal of Sound and Vibration, Vol. 69, No. by:

Sub-optimal control of structures Article in Earthquake Engineering & Structural Dynamics 32(14) November with 5 Reads How we measure 'reads'. About this book Handbook for the computation and empirical estimation of reliability. Introduces an incomparable volume of easily applicable, cutting-edge results originated by .

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Thank you for your patience. Optimal Control of Complex Structures International Conference in Oberwolfach, JuneK.-H. Hoffmann I. Lasiecka G. Leugering J. Sprekels F. Tröltzsch Editors Birkhäuser Verlag Basel • Boston •.

In the era of cyber-physical systems, the area of control of complex systems has grown to be one of the hardest in terms of algorithmic design techniques and analytical tools. The 23 chapters, written by international specialists in the field, cover a variety of interests within the broader field of learning, adaptation, optimization and networked control.

Optimal Control of Complex Structures: International Conference in Oberwolfach, June(International Series of Numerical Mathematics) Hardcover – 1 Mar by K.-H. Hoffmann (Editor), I.

Lasiecka (Editor), G. Leugering (Editor), J. Sprekels (Editor), F. Tröltzsch (Editor) & 2 moreFormat: Hardcover. This book is intended for researchers and control engineers in machine learning, adaptive control, optimization and automatic control systems, including Electrical Engineers, Computer Science Engineers, Mechanical Engineers.

Michael A. Patterson, William W. Hager, and Anil V. Rao, A ph Mesh Refinement Method for Optimal Control, Optimal Control Applications and Methods, 36 (), pp. Hongyan Hou, William W. Hager, and Anil V. Rao, Convergence of a Gauss Pseudospectral Method for Optimal Control, AIAA Conference on Guidance, Navigation, and Control.

Optimal Control Theory Version By Lawrence C. Evans Department of Mathematics ∈ A. Such a control α∗() is called optimal. This task presents us with these mathematical issues: (i) Does an optimal control exist.

(ii) How can we characterize an optimal control mathematically. The next example is from Chapter 2 of the book Caste File Size: KB.

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By logically integrating randomness into control gain, the book helps readers design elegant control systems, mitigate risks in civil engineering structures, and avoid the dilemmas posed by the methods predominantly applied in current practice, such as deterministic control and classical linear quadratic Gaussian (LQG) control associated with.

Material is an up-to-date treatment of optimal control problems which have thus far been difficult to solve; Applications selected have major current interest: routing in communications networks, freeway traffic control, water resources management, etc Authors with backgrounds in automatic control, systems theory and operations research lend the book a breadth of approach which makes the.

Stochastic Optimal Control of Structures Yongbo Peng, Jie Li This book proposes, for the first time, a basic formulation for structural control that takes into account the stochastic dynamics induced by engineering excitations in the nature of non-stationary and non-Gaussian processes.

Stochastic Optimal Control of Structures. This book proposes, for the first time, a basic formulation for structural control that takes into account the stochastic dynamics induced by engineering excitations in the nature of non-stationary and non-Gaussian processes.

analyze the spatial structure of a broader range of optimal control problems such as constrained, ﬁnite horizon control or Model Predictive Control of spatially distributed systems.

This problem has been analyzed in detail in [6] and [7]. This paper is organized as follows. We introduce the notation and the basic concepts used throughout the. "The book is a valuable contribution to the continuing development of the field of stochastic structural dynamics, including the recent discoveries and developments by the authors of the probability density evolution method (PDEM) and its applications to the assessment of the dynamic reliability and control of complex structures through the.

Mathematical Control Theory of Coupled PDEs is based on a series of lectures that are outgrowths of recent research in the area of control theory for systems governed by coupled PDEs. The book develops new mathematical tools amenable to a rigorous analysis of related control problems and.

Contains articles by experts in the fields of optimal control of partial differential equations, shape optimization, numerical methods for partial differential equations and fluid dynamics, all of This title provides an overview of the developments in the field.

Get this from a library. Optimal Control of Complex Structures: International Conference in Oberwolfach, June[K -H Hoffmann; I Lasiecka; Günter Leugering; J Sprekels; F Tröltzsch] -- Interest in the area of control of systems defined by partial differential Equations has increased strongly in recent years.

A major reason has been the requirement of these systems for sensible. This book describes how control of distributed systems can be advanced by an integration of control, communication, and computation.

The global control objectives are met by judicious combinations of local and nonlocal observations taking advantage of various forms of communication exchanges between distributed controllers.Optimal Control of Complex Structures von K.-H. Hoffmann, Irena Lasiecka, G. Leugering, J. Sprekels, Fredi Tröltzsch (ISBN ) bestellen.

Schnelle Lieferung, auch auf Rechnung - .Within the functional architecture, control structures represent the decision or computational logic that determines how the data processing execution should proceed. The general control structures are as follows: ● Branch— a path of execution involving a sequence of data processing tasks or functions.