Concealed Generalized Predictive Self-Tuning Control Algorithm
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Resource Overview
Concealed Generalized Predictive Self-Tuning Control Algorithm, implemented within the MATLAB development environment with embedded parameter estimation and predictive optimization modules
Detailed Documentation
This paper introduces a novel control algorithm—the Concealed Generalized Predictive Self-Tuning Control Algorithm—and elaborates on its theoretical foundation along with implementation methods in the MATLAB development environment. The algorithm leverages the advantages of generalized predictive control to effectively regulate systems while enhancing stability and precision. Key implementation aspects include recursive parameter estimation using functions like RLS (Recursive Least Squares) and predictive horizon optimization through quadratic programming solvers such as quadprog. With broad practical applicability, this algorithm can be deployed across diverse control systems, including mechanical control, electrical control, and chemical process control, where MATLAB’s Control System Toolbox facilitates rapid prototyping and simulation validation.
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