Description: self-tuning controller in practice the widespread use of its increasingly obvious shortcomings, mainly reflected in the change of Order, Variable Delay and change parameters in the system, developed with the robustness of the controller in actual application is very useful. Clark and others put the GPC self-tuning controller is based on the parameters of a model predictive control algorithm, it uses time optimize performance indicators, combining literacy and self-correction mechanism, in order to overcome self-tuning control of the shortcomings, with strong robust.
- [hMacSha1] - software SHA1 the HMAC algorithms, as MD
- [dll11254] - digital phase-locked loop DPLL VERLOG co
- [clarke] - Reuters, 1000.0.05 This group is running
- [explitmpc] - this procedure is a model predictive con
- [c-cluster] - This is one of the c-cluster technical a
- [PredictiveControl] - Learning Predictive Control for a very g
- [DMCmodel] - Predictive control algorithm matlab simu
- [test] - Clark and others proposed self-tuning ge
- [Generalizedpredictivecontrolcode] - Generalized predictive control code
- [lizi] - The Minimum variance adaptive algorithm
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