In this MATLAB programming example, we solve an optimal control problem using the Pontryagin's Maximum Principle. We use the state equations, cost function, Hamiltonian, and costate equations to obtain the optimal control. The solution is obtained using the "dsolve" function, and the results are visualized using MATLAB plots. This example is taken from the "Crack Optimal Control" book.

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❇️"Designing Fuzzy Systems with Recursive Least Squares | MATLAB Simulink Tutorial for Cruise Control and DC Motor Speed"❇️

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