Optimal Control of Aerospace Systems with Control-state Constraints and Delays
Optimal Control of Aerospace Systems with Control-state Constraints and Delays

Author: Riccardo Bonalli

Publisher:

Published: 2018

Total Pages: 0

ISBN-13:

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In this work, we address the real-time optimal guidance of launch vehicles with the objective of designing an autonomous algorithm for the prediction of optimal control strategies, based on indirect methods, able to adapt itself to unpredicted changes of the original scenario. To this aim, we first provide an accurate geometric analysis in the presence of mixed control-state constraints to recover a well-posed framework and correctly apply indirect methods. A practical numerical integration of the problem is proposed by efficiently combining indirect methods with homotopy procedures, increasing robustness and computational speed. Moreover, we improve dynamical models by considering delays. More specifically, we introduce a rigorous and well-posed homotopy framework to recover solutions for optimal control problems with delays via indirect methods. All our contributions made possible the development of a fully automatic, independent and self-regulating software, today property of ONERA-The French Aerospace Lab, for general realistic endo-atmospheric launch vehicle applications focused on optimal missile interception scenarios.

Numerical Methods for Optimal Control Problems
Numerical Methods for Optimal Control Problems

Author: Maurizio Falcone

Publisher: Springer

Published: 2019-01-26

Total Pages: 275

ISBN-13: 3030019594

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This work presents recent mathematical methods in the area of optimal control with a particular emphasis on the computational aspects and applications. Optimal control theory concerns the determination of control strategies for complex dynamical systems, in order to optimize some measure of their performance. Started in the 60's under the pressure of the "space race" between the US and the former USSR, the field now has a far wider scope, and embraces a variety of areas ranging from process control to traffic flow optimization, renewable resources exploitation and management of financial markets. These emerging applications require more and more efficient numerical methods for their solution, a very difficult task due the huge number of variables. The chapters of this volume give an up-to-date presentation of several recent methods in this area including fast dynamic programming algorithms, model predictive control and max-plus techniques. This book is addressed to researchers, graduate students and applied scientists working in the area of control problems, differential games and their applications.

Control and Optimization with Differential-Algebraic Constraints
Control and Optimization with Differential-Algebraic Constraints

Author: Lorenz T. Biegler

Publisher: SIAM

Published: 2012-01-01

Total Pages: 355

ISBN-13: 9781611972252

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Differential-algebraic equations are the most natural way to mathematically model many complex systems in science and engineering. Once the model is derived, it is important to optimize the design parameters and control it in the most robust and efficient way to maximize performance. This book presents the latest theory and numerical methods for the optimal control of differential-algebraic equations. The following features are presented in a readable fashion so the results are accessible to the widest audience: the most recent theory, written by leading experts from a number of academic and nonacademic areas and departments; several state-of-the-art numerical methods; and real-world applications.

Optimal Control: Novel Directions and Applications
Optimal Control: Novel Directions and Applications

Author: Daniela Tonon

Publisher: Springer

Published: 2017-09-01

Total Pages: 399

ISBN-13: 3319607715

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Focusing on applications to science and engineering, this book presents the results of the ITN-FP7 SADCO network’s innovative research in optimization and control in the following interconnected topics: optimality conditions in optimal control, dynamic programming approaches to optimal feedback synthesis and reachability analysis, and computational developments in model predictive control. The novelty of the book resides in the fact that it has been developed by early career researchers, providing a good balance between clarity and scientific rigor. Each chapter features an introduction addressed to PhD students and some original contributions aimed at specialist researchers. Requiring only a graduate mathematical background, the book is self-contained. It will be of particular interest to graduate and advanced undergraduate students, industrial practitioners and to senior scientists wishing to update their knowledge.

Maximum Principle for Systems with Delay Depending on State, Control and Time
Maximum Principle for Systems with Delay Depending on State, Control and Time

Author: Andrzej Manitius

Publisher:

Published: 1972

Total Pages: 52

ISBN-13:

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Optimal control problems for systems described by differential equations with a delayed argument depending on state, control and time are considered. Unlike previous work in this area, there is no restrictive assumption on the monotonicity of the delayed argument with respect to time. The class of admissible controls consists of bounded measurable functions. The terminal point of the trajectory is assumed to be free or constrained by an inequality. Necessary conditions for optimality in the form of a maximum principle are derived via Gabasov's method. The problem of discontinuity of the adjoint variables, as well as other essential features of the maximum principle, are discussed. An example given in the Appendix shows that the optimal behavior of the delay need not necessarily consist in zeroing the delay on the whole time interval. (Author).