Numerical methods for mixed–integer optimal control problems

Numerical Methods for Optimal Control Pr

📁 Numerical Methods for Optimal Control Problems

✍ Maurizio Falcone, Roberto Ferretti, Lars Grüne, William M. McEneaney 📂 Library 📅 2018 🏛 Springer International Publishing 🌐 English

<p>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

Numerical methods for optimal control pr

📁 Numerical methods for optimal control problems

✍ Falcone M (ed.) 📂 Library 📅 2018 🏛 Springer 🌐 English

Numerical Methods for Optimal Control Pr

📁 Numerical Methods for Optimal Control Problems with State Constraints

✍ Radosław Pytlak (auth.) 📂 Library 📅 1999 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

<p>While optimality conditions for optimal control problems with state constraints have been extensively investigated in the literature the results pertaining to numerical methods are relatively scarce. This book fills the gap by providing a family of new methods. Among others, a novel convergence a

Numerical Methods for Optimal Control Pr

📁 Numerical Methods for Optimal Control Problems with State Constraints

✍ Radosław Pytlak (auth.) 📂 Library 📅 1999 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

<p>While optimality conditions for optimal control problems with state constraints have been extensively investigated in the literature the results pertaining to numerical methods are relatively scarce. This book fills the gap by providing a family of new methods. Among others, a novel convergence a

Numerical Methods for Optimal Control Pr

📁 Numerical Methods for Optimal Control Problems With State Constraints

✍ R. Pytlak 📂 Library 📅 1999 🏛 Springer 🌐 English

Fast Numerical Methods for Mixed-Integer

📁 Fast Numerical Methods for Mixed-Integer Nonlinear Model-Predictive Control

✍ Christian Kirches 📂 Library 📅 2011 🏛 Vieweg+Teubner Verlag 🌐 English

Christian Kirches develops a fast numerical algorithm of wide applicability that efficiently solves mixed-integer nonlinear optimal control problems. He uses convexification and relaxation techniques to obtain computationally tractable reformulations for which feasibility and optimality certificates

Numerical methods for mixed–integer optimal control problems

✦ Synopsis