Linear-quadratic-Gaussian control

Results: 49



#Item
1DIVIDE AND CONQUER STRATEGIES FOR ENHANCED RESILIENCY IN ELECTRICAL TRANSMISSION LINES 1 2

DIVIDE AND CONQUER STRATEGIES FOR ENHANCED RESILIENCY IN ELECTRICAL TRANSMISSION LINES 1 2

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Source URL: www.resilience-engineering-association.org

Language: English - Date: 2016-03-30 10:24:07
2Predictive Inverse Optimal Control for Linear-Quadratic-Gaussian Systems Proofs Lemma 1. The constrained optimization of (19) is equivalent to: argmax {f (�

Predictive Inverse Optimal Control for Linear-Quadratic-Gaussian Systems Proofs Lemma 1. The constrained optimization of (19) is equivalent to: argmax {f (�

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Source URL: jmlr.org

Language: English - Date: 2016-05-01 21:17:10
    3Predictive Inverse Optimal Control for Linear-Quadratic-Gaussian Systems Xiangli Chen Department of Computer Science University of Illinois at Chicago

    Predictive Inverse Optimal Control for Linear-Quadratic-Gaussian Systems Xiangli Chen Department of Computer Science University of Illinois at Chicago

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    Source URL: jmlr.org

    Language: English - Date: 2016-05-01 21:17:10
      4C:/Users/Jur van den Berg/Documents/papers/RSS10 - NeedleSteering/jur-planningcontrol.dvi

      C:/Users/Jur van den Berg/Documents/papers/RSS10 - NeedleSteering/jur-planningcontrol.dvi

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      Source URL: goldberg.berkeley.edu

      Language: English - Date: 2011-01-03 19:54:12
      5LQfiltering_final_October_2008.dvi

      LQfiltering_final_October_2008.dvi

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      Source URL: www.tomsargent.com

      Language: English - Date: 2015-04-08 13:03:55
      6HPMPC - A new software package with efficient solvers for Model Predictive Control Gianluca Frison, John Bagterp Jørgensen Technical University of Denmark CITIES Second General Consortium Meeting,

      HPMPC - A new software package with efficient solvers for Model Predictive Control Gianluca Frison, John Bagterp Jørgensen Technical University of Denmark CITIES Second General Consortium Meeting,

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      Source URL: smart-cities-centre.org

      Language: English - Date: 2015-05-27 10:38:14
      7Model Predictive Control • linear convex optimal control • finite horizon approximation • model predictive control • fast MPC implementations

      Model Predictive Control • linear convex optimal control • finite horizon approximation • model predictive control • fast MPC implementations

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      Source URL: see.stanford.edu

      Language: English - Date: 2008-05-05 19:16:36
      8ON PRACTICAL NEURAL FIELD PARAMETERS ADJUSTMENT Fr´ed´eric Alexandre, J´eremy Fix, Axel Hutt, Nicolas Rougier, Thierry Vi´eville INRIA Cortex http://cortex.loria.fr ABSTRACT Revisiting CNFT calculation maps in both t

      ON PRACTICAL NEURAL FIELD PARAMETERS ADJUSTMENT Fr´ed´eric Alexandre, J´eremy Fix, Axel Hutt, Nicolas Rougier, Thierry Vi´eville INRIA Cortex http://cortex.loria.fr ABSTRACT Revisiting CNFT calculation maps in both t

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      Source URL: www-sop.inria.fr

      Language: English - Date: 2008-08-24 17:36:56
      9LQG-Based Planning, Sensing, and Control of Steerable Needles Jur van den Berg1 , Sachin Patil1 , Ron Alterovitz1, Pieter Abbeel2 , Ken Goldberg2 Abstract This paper presents a technique for planning and controlling beve

      LQG-Based Planning, Sensing, and Control of Steerable Needles Jur van den Berg1 , Sachin Patil1 , Ron Alterovitz1, Pieter Abbeel2 , Ken Goldberg2 Abstract This paper presents a technique for planning and controlling beve

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      Source URL: www.ieor.berkeley.edu

      Language: English - Date: 2011-01-03 19:51:59
      10Choleski Algorithms for the Solution of a Set of Normal Equations Dr. Peter A. Steeves, P. Eng. Geodetic Software Systems Abstract: Algorithms for the solution of a set of normal equations by the method of Choleski are

      Choleski Algorithms for the Solution of a Set of Normal Equations Dr. Peter A. Steeves, P. Eng. Geodetic Software Systems Abstract: Algorithms for the solution of a set of normal equations by the method of Choleski are

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      Source URL: webhome.idirect.com

      Language: English - Date: 2002-02-19 11:40:34