Mesbah-Lab-UCB / SNSF-project-P2ELP2_184521

Multivariable control strategy for a reactor system, efficient global solution method for a reaction system and rocket, solution methods for two approximate formulations of the Bayesian optimal experiment design (OED) problem, optimal control approach for a cold plasma system.

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SNSF project P2ELP2_184521

Code developed in Prof. Ali Mesbah's lab at UC Berkeley for the Swiss National Science Foundation project P2ELP2_184521. This code is related to the papers "Multivariable Control Based on Incomplete Models via Feedback Linearization and Continuous-Time Derivative Estimation", "Efficient Global Solutions to Single-Input Optimal Control Problems via Approximation by Sum-of-Squares Polynomials", "Tractable Global Solutions to Chance-Constrained Bayesian Optimal Experiment Design for Arbitrary Prior and Noise Distributions", and "Data-Driven Adaptive Optimal Control Under Model Uncertainty: An Application to Cold Atmospheric Plasmas".

Check the folders Controller, OED, and Optimal control for readme files with more information.

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Multivariable control strategy for a reactor system, efficient global solution method for a reaction system and rocket, solution methods for two approximate formulations of the Bayesian optimal experiment design (OED) problem, optimal control approach for a cold plasma system.


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