Nonlinear Model Predictive Control with Constraints
This code implements Model Predictive Control (MPC) algorithms for nonlinear plants with constraints, featuring prediction model optimization and constraint handling.
Solving Constrained Optimization Problems Using the Lagrange Multiplier Method
Practical implementation example demonstrating the use of Lagrange Multiplier Method to solve constrained optimization problems with code-based explanations.
Function Optimization (With or Without Constraints) and Combinatorial Optimization Algorithms
This article provides an in-depth explanation of the principles and source code implementations for function optimization (supporting both constrained and unconstrained problems) and combinatorial optimization algorithms. The presented algorithms demonstrate exceptional computational efficiency and are suitable for practical applications. Additional genetic algorithm examples are included in the attachments for further research and algorithm study.
Genetic Algorithm Solution for CARP (Directed Multi-Chinese Postman Problem)
Genetic algorithm implementation for CARP with easily modifiable objectives and constraints. Based on the University of Sheffield Genetic Algorithm Toolbox - requires prior installation.
MATLAB Implementation of Dynamic Matrix Dual-Input with Constrained Simulation
Simulation of dynamic matrix dual-input systems under constrained conditions, focusing on implementation approaches and constraint handling techniques.