MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com On Region-Free Explicit Model Predictive Control Kvasnica, M.; Takacs, B.; Holaza, J.; Di Cairano, S. TR2015-148

Source URL: www.merl.com

LexTOR: Lexicographic Teach Optimize and Repeat Based on User Preferences Mladen Mazuran Christoph Sprunk

Source URL: europa2.informatik.uni-freiburg.de

• Mathematical optimization
• Trajectory optimization
• Trajectory
• Convex optimization
• Model predictive control
• Collision detection
• Motion planning
• Work
• Multi-objective optimization

Nonlinear Predictive Control with a Gaussian Process Model Juˇs Kocijan1,2 and Roderick Murray-Smith3,4 1 Jozef Stefan Institute, Jamova 39, SI-1000 Ljubljana, Slovenia

Source URL: www.dcs.gla.ac.uk

Explicit Model Predictive Control for Large-Scale Systems via Model Reduction Svein Hovland∗ and Jan Tommy Gravdahl† Norwegian University of Science and Technology, N-7491 Trondheim, Norway and

Source URL: kiwi.mit.edu

MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Model predictive control and spatial governor for multistage processing machines in precision manufacturing Di Cairano, S.; Goldsmith, A.M.; Bortoff, S.A.

Source URL: www.merl.com

Università degli Studi di Pavia Dipartimento di Ingegneria Industriale e dell’Informazione SEMINAR Stochastic Nonlinear Model Predictive Control

Source URL: sisdin.unipv.it

Scaling up Gaussian Belief Space Planning through Covariance-Free Trajectory Optimization and Automatic Differentiation Sachin Patil, Gregory Kahn, Michael Laskey, John Schulman, Ken Goldberg, Pieter Abbeel University of

Source URL: goldberg.berkeley.edu

• Mathematical optimization
• Systems theory
• Engineering
• Systems science
• Control theory
• Robot control
• Operations research
• Optimal control
• Trajectory optimization
• Kalman filter
• Model predictive control
• Quadratic programming

Distributed Aperiodic Model Predictive Control for Multi-Agent systems Kazumune Hashimoto, Shuichi Adachi and Dimos V. Dimarogonas ∗†‡ Abstract In this paper, we propose an aperiodic formulation of Model Predictive

Source URL: people.kth.se

Edward P. Gatzke Associate Professor Department of Chemical Engineering, University of South Carolina Professional Preparation and Appointments: Georgia Institute of Technology, Chemical Engineering, B.CHE. 1995, Highest

Source URL: www.che.sc.edu

• Engineering
• Mathematical optimization
• Operations research
• Science and technology
• Process engineering
• Global optimization
• American Institute of Chemical Engineers
• Model predictive control
• Control theory
• Polynomial chaos

Integrating heterogeneity dynamics in aggregated urban network modeling and control Mohsen Ramezani, EPFL/LUTS Jack Haddad, Technion/T-SMART Nikolas Geroliminis, EPFL/LUTS

Source URL: www.strc.ch

• Road transport
• Fundamental diagram of traffic flow
• Transportation engineering
• Model predictive control
• Traffic flow
• Interim Biogeographic Regionalisation for Australia
• Subregion