The paper presents ModelPredictiveControl.jl, an open-source Julia toolkit for model predictive control including nonlinear, economic, and successive linearization variants, illustrated with CSTR and inverted pendulum simulations and benchmarked against MATLAB.
author Hill, D
2 Pith papers cite this work. Polarity classification is still indexing.
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A neurodynamic duplex neural network method solves distributionally robust geometric joint chance-constrained problems by converging in probability to the global optimum via projection equations.
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ModelPredictiveControl.jl: advanced process control made easy in Julia
The paper presents ModelPredictiveControl.jl, an open-source Julia toolkit for model predictive control including nonlinear, economic, and successive linearization variants, illustrated with CSTR and inverted pendulum simulations and benchmarked against MATLAB.
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Distributionally Robust Geometric Joint Chance-Constrained Optimization: Neurodynamic Approaches
A neurodynamic duplex neural network method solves distributionally robust geometric joint chance-constrained problems by converging in probability to the global optimum via projection equations.