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Model Predictive Control (MPC)

On: December 10, 2019

MPC is used to optimize control inputs by approximating a reference trajectory using dt, N and T variables in a finite(2-3 seconds) time-horizon. This reference trajectory should encompass very small values of dt which will be multiplied by N (should be a number that when multiplied by dt is 2-3Continue Reading

Markov decision process (MDP) – Reinforcement Learning decision model

On: July 6, 2019

In: AI, Deep Machine Learning, Reinforcement Learning

* Is a discrete time stochastic control process for decision making in situations where outcomes are partly random and partly under the control of a decision maker. * At each discrete time step, the process is in some state s, and the decision maker may choose any action a thatContinue Reading