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When a reference is mismatched to the reads being encoded, the initial model is poor but can be improved via adaptive updates.
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Additionally, the corresponding adaptive updating method can adapt to changes of communication topology, including both exchanging coefficients and updating the identity of participating agents. .
Additionally, the corresponding adaptive updating method can adapt to changes of communication topology, including both exchanging coefficients and updating the identity of participating agents.
In a typical adaptive update law, the rate of adaptation is generally a function of the state feedback error.
The desire to include some measurable form of the parameter estimation error in the adaptation law resulted in the development of composite adaptive update laws that are functions of a prediction error and the state feedback.
Moreover, the adaptive update law can be obtained by using the Lyapunov stability theory.
Parametric uncertainties, unknown coupled dynamics, and bounded external disturbances are compensated online by adaptive update laws.
Firstly, a finite-time attitude controller combined with a new adaptive update law is designed.
These conditions are represented in terms of linear matrix inequalities and adaptive updating laws.
The unknown kinematic couplings, parametric uncertainties, and bounded external disturbances are handled with adaptive updating laws.
Ideally, the adaptive update law would also include some feedback of the parameter estimation error.
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