• KELLEY

  • Referenced in 609 articles [sw04829]
  • parameter identification problem and a discretized optimal control problem, both of which are used ... restriction that the starting point of the optimization iteration is sufficiently close to a solution ... parameter identification problem and the discretized optimal control problem introduced in chapter 1, and with...
  • MISER3

  • Referenced in 81 articles [sw04190]
  • programs for solving continuous and discrete-time optimal control problems, optimal parameter selection problems...
  • AMPL

  • Referenced in 594 articles [sw04001]
  • linear and nonlinear optimization problems, in discrete or continuous variables. Developed at Bell Laboratories, AMPL ... common notation and familiar concepts to formulate optimization models and examine solutions, while the computer ... model development, while its speed and control options make it an especially efficient choice...
  • TRICE

  • Referenced in 46 articles [sw05197]
  • programs arise, e.g., from the discretization of optimal control problems. The algorithms treat states...
  • Scilab

  • Referenced in 168 articles [sw00834]
  • discrete optimization problems. Statistics: Tools to perform data analysis and modeling Control System Design & Analysis...
  • HQP/OMUSES

  • Referenced in 9 articles [sw05158]
  • motivated by discrete-time optimal control problems, solves general NLP using Powell’s or Schittkowski...
  • PSOPT

  • Referenced in 8 articles [sw20700]
  • PSOPT is an open source optimal control software package written in C++ that uses direct ... including pseudospectral and local discretizations. Pseudospectral methods solve optimal control problems by approximating the time ... such as Legendre or Chebyshev functions. Local discretization methods approximate the time dependent functions using ... integrals associated with the problem are discretized over a grid of nodes. Sparse nonlinear programming...
  • MinRes

  • Referenced in 33 articles [sw09350]
  • This work is devoted to distributed optimal control problems for multiharmonic eddy current problems ... multiharmonic approach to the optimality system and discretize in space by means of a symmetrically...
  • OptimalAdvertising

  • Referenced in 1 article [sw19645]
  • expenditure. This problem is a discrete multistep optimal control problem, where an advertising expenditure...
  • QUCON

  • Referenced in 5 articles [sw09676]
  • solution of dipole quantum optimal control problems. This MATLAB package is based on a recently ... Hessian Krylov–Newton scheme and a discretize-before-optimize approach. To discretize the governing Schrödinger ... Crank–Nicolson scheme is used. The discretize-before-optimize criteria allows the formulation of accurate ... able to provide fast and accurate controls for high-energy state transitions...
  • SICC

  • Referenced in 7 articles [sw26948]
  • solved explicitly and difficult to design optimal control algorithms. In this work, a prediction model ... open canal is developed by discretizing the Saint-Venant equations in both space and time...
  • GELDA

  • Referenced in 33 articles [sw00331]
  • solution of linear quadratic optimal control problems and differential-algebraic Riccati equations ... based on the construction of the discretization scheme introduced in [B], which first determines...
  • COOPT

  • Referenced in 5 articles [sw00158]
  • software package COOPT for optimal control of large scale differential algebraic equation systems, including also ... that the package uses the multiple shooting discretization method, which is also briefly described. Next ... described with particular emphasis given to control parametrization, optimization constraints, control continuity and other constraints...
  • WavePacket

  • Referenced in 8 articles [sw19829]
  • discrete variable representations for spatial discretization as well as various techniques for temporal discretization.The upcoming ... also describes the codes for optimal control of quantum dynamics.The present work introduces the MATLAB...
  • MUSCOP

  • Referenced in 7 articles [sw06143]
  • based on direct multiple shooting for optimal control problems (OCPs) constrained by time-periodic partial ... asymptotically optimal scale-up of the numerical effort with the number of spatial discretization points ... that the quality of the fine grid controls the accuracy of the solution while ... independent of the number of spatial discretization points. For the second stage we develop extensions...
  • GPSS World

  • Referenced in 20 articles [sw35251]
  • contributed important concepts to every commercial discrete event Computer Simulation Language developed ever since. GPSS ... maintaining a high level of transparency and controllability. Further, GPSS World facilitates the statistical analysis ... generation, for screening as well as for optimization...
  • HTools

  • Referenced in 2 articles [sw22811]
  • problems for analysis, modelling and deSIgn of control systems. The central functions of the package ... solving H∞and H2 optimization problems for both continuous and discrete systems. HTOOLS contains many ... supersede equivalent ones available in the standard CONTROL Toolbox of MATLAB. Other functions extend this...
  • cashocs

  • Referenced in 1 article [sw36611]
  • optimal control and shape optimization. The software cashocs implements a discretization of the continuous adjoint...
  • DyOS

  • Referenced in 2 articles [sw07472]
  • related applications. A large class of dynamic optimization problems involve models given by differential-algebraic ... them an automatic adaptation of the control profile discretization . DyOS has successfully been used ... solve multi-stage problems, mixed integer dynamics optimization problems, dynamic parameter and input estimations...
  • pycombina

  • Referenced in 1 article [sw38177]
  • Arising in Mixed-Integer Optimal Control. Application of Model Predictive Control (MPC) for nonlinear switched ... systems often leads via discretization to Mixed-Integer Non-Linear Programs (MINLPs), which ... solved either approximately or to global optimality. The applicability of these decomposition methods depends strongly...