The phrase "adaptation laws" is correct and usable in written English.
It can be used in contexts discussing legal frameworks or principles that govern how entities adjust to changes in their environment or circumstances.
Example: "The adaptation laws in environmental policy are crucial for ensuring that communities can effectively respond to climate change."
Alternatives: "regulatory frameworks for adaptation" or "laws governing adaptation."
Within this scheme, dynamic surface control (DSC) technique, robust adaptation laws and adaptive nonlinear filters are combined for designing an adaptive dynamic surface control (ADSC -based FTC system in order to compensADSC -based eFTCctsystemensor faults and system uncertainties (including external disturbances, morderng errors and unexpectod nonlinear funcompensatesed by sensor forlthe.
The proposed controller constructs an asymptotically stable adaptive controller and adaptation laws, which can compensate for the system nonlinearities and uncertain parameters.
The response system is a robust adaptive full-order observer with adaptation laws for the unknown disturbances and parameters.
Based on an indirect adaptive scheme and Lyapunov theory, adaptation laws are developed to make the controller handle parameters variations due to the different operating conditions occurring on the power system and to guarantee stability.
The presence of uncertainties in the actuators parameters or in the vehicle dynamics has been treated both adding suitable components to the Lyapunov function and using parameters adaptation laws (e.g. adaptive control and backstepping techniques).
Desired trajectories of the independent motion variables are derived by minimum-norm trajectory planning algorithm, and an adaptive sliding mode controller with improved adaptation laws is proposed to drive the independent motion variables tracking the desired trajectories.
Using Lyapunov synthesis, adaptation laws are developed in an enhanced indirect adaptive fuzzy scheme which closely tracks changes in power system operating conditions.
Using the adaptation laws and finite-time control theory, first a robust adaptive controller is derived to stabilize the non-autonomous uncertain HPS in finite time.
Appropriate adaptation laws are designed to undertake the unknown parameters.
Further, the proposed PI type adaptation laws can achieve faster convergence of the tracking error than that using integral type adaptation laws in previous published papers.
The adaptation laws are deduced from the stability analysis in the sense of Lyapunov.
