Computation Theory Optimal Control (13 results)

gebundene Ausgabe. Condition: Gut. 242 Seiten Das hier angebotene Buch stammt aus einer teilaufgelösten Bibliothek und kann die entsprechenden Kennzeichnungen aufweisen (Rückenschild, Instituts-Stempel.); der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 600. …

Cloth. Condition: Gut. x , 242 p. Good. Ex-library with usual markings. Clean pages. Sprache: Englisch Gewicht in Gramm: 620.

gebundene Ausgabe. Condition: Gut. 242 Seiten; Das Buch befindet sich in einem ordentlich erhaltenen Zustand. Einbandkanten sind leicht bestoßen. Leichte altersbedingte Anbräunung des Papiers. In ENGLISCHER Sprache. einbach leicht stockfleckig. Sprache: Englisch Gewicht in Gramm: 560.

Condition: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Taschenbuch. Condition: Neu. Quadratic Optimal Control Problems | Theory, Analytical Solutions and Numerical Computation with Conjugate Gradient Method and FICO Xpress Mosel | Ayodeji Sunday Afolabi (u. a.) | Taschenbuch | Englisch | 2025 | GlobeEdit | EAN 9786209151347 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Paperback. Condition: Brand New. 254 pages. 9.00x6.00x0.58 inches. In Stock.

Condition: New.

Condition: New.

Hardcover. Condition: Brand New. 221 pages. 6.14x0.56x9.21 inches. In Stock.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Fractional optimal control problems (FOCPs) are a generalization of the conventional optimal control problems of integer order in the sense that the dynamics are governed by fractional systems. FOCPs arise in many fields such as mathematics, engineering, biology, economics, finance and management. It is often impossible to obtain analytical solutions of nonlinear FOCPs in general. Thus, establishing optimization theory and finding effective numerical methods for nonlinear FOCPs have become an active research topic. In this book, we will investigate the optimality theories and numerical solution methods of a variety of nonlinear FOCPs including delay nonlinear FOCP, free final time nonlinear FOCP, robust nonlinear FOCP, nonlinear FOCPs with Atangan-Baleanu derivatives and nonlinear FOCPs with conformable derivatives.Numerical solution of fractional optimal control has been an emerging research topic which has attracted much attention in the past few years from both researchers and practitioners, as advances in this area will be very useful for solving real-world optimal control problems which cannot be solved using conventional methods. The objective of this book is to present systematically various fractional optimal control problems of practical importance. By bringing forward fresh novel methods and innovative tools, we are to provide a state-of-the-art and comprehensive systematic treatment of nonlinear fractional optimal control problems, mostly from our previous research results. This can not only develop fractional systems, optimal control theory, and optimization algorithms but also serve as a reference for applied and computational of optimal control problems.The book will be attractive to researchers in various fields of mathematics, control theory and engineering and practitioners who wants to solve their real-life fractional optimal control problems. Graduate students in related fields will also find this book useful for their training and research.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book explores quadratic optimal control problems constrained by ordinary differential equations (ODEs), integrating analytical methods with numerical optimization techniques. The analytical approach employs first-order optimality conditions on the Hamiltonian, solved through the fundamental matrix method and Riccati transformations. For numerical computation, discretization is carried out using Simpson's rule and a fifth-order implicit method, reformulated via the Augmented Lagrangian Method. Solutions are obtained using the Conjugate Gradient Method (CGM) and FICO Xpress Mosel. Comparative analysis shows that while CGM is effective but sensitive to parameter choices, FICO Xpress Mosel offers faster and more reliable convergence, making it a robust tool for solving high-dimensional control problems.…

Condition: New. Print on Demand.

Condition: New. PRINT ON DEMAND.