Optimal Control: Novel Directions and Applications

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 synt...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Tonon, Daniela (Επιμελητής έκδοσης), Aronna, Maria Soledad (Επιμελητής έκδοσης), Kalise, Dante (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
Σειρά:Lecture Notes in Mathematics, 2180
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 1.Optimality conditions (in Pontryagin form)
  • 1.1 Introduction
  • 1.2
  • On first order necessary conditions under pure state constraints
  • 1.3 Optimality conditions and local regularity of the value function for the optimal exit time problem
  • 1.4 Relaxation in Optimal Control
  •  1.5 An Introduction to Optimal Control Problems with Time Delays
  • 1.6 Variational Integrators for the Optimal Control of Mechanical  Systems
  • 1.7 Pointwise necessary second order conditions
  • 1.8 On the shooting method for control-affine problems
  • 1.9 On second order conditions in the optimal control of Partial Differential Equations
  • 2.Hamilton–Jacobi–Bellman equations
  • 2.1 Introduction
  • 2.2 Hamilton-Jacobi-Bellman approach for State-Constrained Optimal Control Problems, by Cristopher Hermosilla and Athena Picarelli
  • 2.3 Hamilton-Jacobi-Bellman approach for State-Constrained Optimal Control Problems
  • 2.4 High-order schemes for Hamilton–Jacobi–Bellman equations
  • 2.5 Conclusion
  • 2.6 Some Recent Applications of Hamilton–Jacobi–Bellman equations
  • 2.7 A Brief Survey on Semi-Lagrangian Schemes for Mean Field Games, by Roberto Guglielmi and Francisco Silva
  • 3. Direct Optimal Control and Model Predictive Control
  • 3.1 Introduction
  • 3.2 MPC Stability
  • 3.3 Numerical Methods for MPC
  • 3.4 Applications.