Lyapunov optimization

Results: 27



#Item
1Energy Trading in the Smart Grid: From End-user’s Perspective Shengbo Chen∗ , Ness B. Shroff† and Prasun Sinha‡ ∗† Department  of ECE, The Ohio State University

Energy Trading in the Smart Grid: From End-user’s Perspective Shengbo Chen∗ , Ness B. Shroff† and Prasun Sinha‡ ∗† Department of ECE, The Ohio State University

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Source URL: web.cse.ohio-state.edu

Language: English - Date: 2013-11-22 12:59:27
2Region of Attraction Estimation for a Perching Aircraft: A Lyapunov Method Exploiting Barrier Certificates Elena Glassman, Alexis Lussier Desbiens, Mark Tobenkin, Mark Cutkosky, and Russ Tedrake Abstract— Dynamic perch

Region of Attraction Estimation for a Perching Aircraft: A Lyapunov Method Exploiting Barrier Certificates Elena Glassman, Alexis Lussier Desbiens, Mark Tobenkin, Mark Cutkosky, and Russ Tedrake Abstract— Dynamic perch

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Source URL: eglassman.github.io

Language: English - Date: 2016-07-29 16:41:12
3MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Stability and feasibility of MPC for switched linear systems with dwell-time constraints Bridgeman, L.; Danielson, C.; Di Cairano, S.

MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Stability and feasibility of MPC for switched linear systems with dwell-time constraints Bridgeman, L.; Danielson, C.; Di Cairano, S.

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Source URL: www.merl.com

Language: English - Date: 2016-07-07 10:52:35
4Linear Matrix Inequalities in Control  Carsten Scherer and Siep Weiland Department of Mathematics University of Stuttgart

Linear Matrix Inequalities in Control Carsten Scherer and Siep Weiland Department of Mathematics University of Stuttgart

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Source URL: www.mathematik.uni-stuttgart.de

Language: English - Date: 2016-07-05 03:16:57
5A Lyapunov Based Stable Online Learning Algorithm For Nonlinear Dynamical Systems Using Extreme Learning Machines Vijay Manikandan Janakiraman∗ , XuanLong Nguyen† , Dennis Assanis‡ ∗ Department  of Mechanical Eng

A Lyapunov Based Stable Online Learning Algorithm For Nonlinear Dynamical Systems Using Extreme Learning Machines Vijay Manikandan Janakiraman∗ , XuanLong Nguyen† , Dennis Assanis‡ ∗ Department of Mechanical Eng

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Source URL: dept.stat.lsa.umich.edu

Language: English - Date: 2013-05-02 00:04:07
6Shared Autonomy via Hindsight Optimization Shervin Javdani, Siddhartha S. Srinivasa, J. Andrew Bagnell The Robotics Institute, Carnegie Mellon University {sjavdani, siddh, dbagnell}@cs.cmu.edu Abstract—In shared autono

Shared Autonomy via Hindsight Optimization Shervin Javdani, Siddhartha S. Srinivasa, J. Andrew Bagnell The Robotics Institute, Carnegie Mellon University {sjavdani, siddh, dbagnell}@cs.cmu.edu Abstract—In shared autono

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Source URL: www.ri.cmu.edu

Language: English - Date: 2015-05-06 09:31:40
7Towards Scalable Algorithms with Formal Guarantees for Lyapunov Analysis of Control Systems via Algebraic Optimization (Tutorial paper for the 53rd IEEE Conference on Decision and Control) Amir Ali Ahmadi and Pablo A. Pa

Towards Scalable Algorithms with Formal Guarantees for Lyapunov Analysis of Control Systems via Algebraic Optimization (Tutorial paper for the 53rd IEEE Conference on Decision and Control) Amir Ali Ahmadi and Pablo A. Pa

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Source URL: www.princeton.edu

Language: English - Date: 2014-09-21 01:20:26
8SOS-Convex Lyapunov Functions for Switched Systems Amir Ali Ahmadi Goldstine Fellow, Mathematical Programming Group IBM Watson Research Center Joint work with:

SOS-Convex Lyapunov Functions for Switched Systems Amir Ali Ahmadi Goldstine Fellow, Mathematical Programming Group IBM Watson Research Center Joint work with:

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Source URL: web.mit.edu

Language: English - Date: 2014-01-07 23:33:57
9Control of Nonlinear Systems with Full State Constraint Using a Barrier Lyapunov Function

Control of Nonlinear Systems with Full State Constraint Using a Barrier Lyapunov Function

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Source URL: www1.i2r.a-star.edu.sg

Language: English - Date: 2009-12-22 06:41:53
10Errata for Learning output kernels with block coordinate descent  Differently from what claimed in Lemma 4.1 of [1], the update for L does not preserve symmetry. However, this doesn’t compromise the validity of Algorit

Errata for Learning output kernels with block coordinate descent Differently from what claimed in Lemma 4.1 of [1], the update for L does not preserve symmetry. However, this doesn’t compromise the validity of Algorit

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Source URL: people.tuebingen.mpg.de

Language: English - Date: 2011-07-26 04:13:11