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Showing 1 to 2 of 2 for “"Explicit Model Predictive Control"”.
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Nonlinear adaptation of established linear and predictive control laws through safe reinforcement learning
… (RL) enables the prospect of data-driven controllers that learn to select control actions optimally purely through the feedback provided by an evaluative signal (the reward). In principle, this technology may be used to develop adaptive controllers that account for plant-model mismatches, …
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Verification of advanced controllers for safety-critical systems
In order to design and deploy a feedback controller in a real application, one must determine suitable specifications that the design must meet ("validate"), and then ensure that the chosen specifications have been met ("verify"). In this thesis, we investigate a verification paradigm based on …