Sentence examples for estimation laws from inspiring English sources

In the ACSMC, the MIMO RHNN estimator with estimation laws is proposed to estimate two complicated dynamic functions of the system on-line.

By designing virtual control inputs and choosing appropriate Lyapunov functions, the final control and parameter estimation laws are derived.

The final control and parameter estimation laws are derived by the design of the virtual control inputs and the Lyapunov function candidate.

The unknown parameters of EHS model are estimated by the parametric adaptive estimation law.

In addition, to relax the requirement of unknown uncertainty bound, a bound estimation law is derived to estimate the uncertainty bound.

If a real system and its perfect model (with identical parameters) can be made to synchronize identically, then for an imperfect model of a real system with some unknown parameters, one can design a parameter estimation law, so that all parameters of the real system can be estimated from the model.

Apart from previous studies, uncertainty bound is determined with the estimation law to control the system properly and the estimation law is written as an exponential function of robot kinematics, inertia parameters and tracking error.

The parameter estimation law is modelled by an impulse-free time-varying differential equation associated with the impulse time sequence for determining when the observer state is updated.

The SLDO is developed within a framework of feedback-error learning scheme in which a conventional estimation law and a T2NFS work in parallel.

The composite recurrent Laguerre orthogonal polynomials NN control system consists of an inspector control, a recurrent Laguerre orthogonal polynomials NN control with adaptation law and a recouped control with estimation law.

The composite recurrent Laguerre orthogonal polynomial NN control system can perform inspector control, recurrent Laguerre orthogonal polynomial NN control which involves an adaptation law, and recouped control which involves an estimation law.