Summarization: This paper considers the solution of large-scale linear optimal control problems subject to linear control and state constraints by application of a linear programming (LP-) based methodology. The proposed algorithm is based on a particular LP-method that is suitably modified and adapted to the structure of the considered discrete-time dynamic problem to keep the computation time low and efficiently store the arising large, but sparse, matrices. The efficiency of the approach is demonstrated via a practical example arising in the field of traffic control in data-communication networks. The algorithm is shown to solve problems involving several thousands of variables in few seconds on a workstation thus enabling real-time opti...
Constrained finite-horizon linear-quadratic optimal control problems are studied within the context ...
Abstract. This paper develops a new algorithm for the dynamic intersection control based on linear a...
Optimal impulse control problems are, in general, difficult to solve. A current research goal is to ...
This paper focuses on optimal control problems for large scale systems with a decomposable cost func...
We propose an optimal control approach to tackle large scale unconstrained optimization problems. Ou...
The paper deals with the optimal positional control actions for linear discrete dynamic stationary o...
The curse of dimensionality gives rise to prohibitive computational requirements that render infeasi...
The problem of designing real-time traffic signal control strategies for large-scale congested urban...
The disturbance decoupling problem with stability (DDPS) and simultaneous infinite-time horizon opti...
Abstract — This paper deals with the optimal control of continuous-time linear systems with state-sp...
Summarization: Nonlinear optimal control may deliver optimal decisions under any scenario related to...
We discuss a parallel library of efficient algorithms for the solution of linear-quadratic optimal c...
The author discusses a number of numerical linear algebra techniques for large scale problems in sys...
The problem of designing real-time traffic signal control strategies for large-scale congested urban...
This thesis studies approximate optimal control of nonlinear systems. Particular attention is given ...
Constrained finite-horizon linear-quadratic optimal control problems are studied within the context ...
Abstract. This paper develops a new algorithm for the dynamic intersection control based on linear a...
Optimal impulse control problems are, in general, difficult to solve. A current research goal is to ...
This paper focuses on optimal control problems for large scale systems with a decomposable cost func...
We propose an optimal control approach to tackle large scale unconstrained optimization problems. Ou...
The paper deals with the optimal positional control actions for linear discrete dynamic stationary o...
The curse of dimensionality gives rise to prohibitive computational requirements that render infeasi...
The problem of designing real-time traffic signal control strategies for large-scale congested urban...
The disturbance decoupling problem with stability (DDPS) and simultaneous infinite-time horizon opti...
Abstract — This paper deals with the optimal control of continuous-time linear systems with state-sp...
Summarization: Nonlinear optimal control may deliver optimal decisions under any scenario related to...
We discuss a parallel library of efficient algorithms for the solution of linear-quadratic optimal c...
The author discusses a number of numerical linear algebra techniques for large scale problems in sys...
The problem of designing real-time traffic signal control strategies for large-scale congested urban...
This thesis studies approximate optimal control of nonlinear systems. Particular attention is given ...
Constrained finite-horizon linear-quadratic optimal control problems are studied within the context ...
Abstract. This paper develops a new algorithm for the dynamic intersection control based on linear a...
Optimal impulse control problems are, in general, difficult to solve. A current research goal is to ...