An Approach Using Fuzzy Theory in Adaptive Control for a Robot System 吳堅本、胡永柟

With the proposed model equations, accurate results can be obtained on a mapped grid using a standard method, such as the high-resolution wave- propagation algorithm for a

In this paper, we evaluate whether adaptive penalty selection procedure proposed in Shen and Ye (2002) leads to a consistent model selector or just reduce the overfitting of

One of the technical results of this paper is an identifi- cation of the matrix model couplings ti(/x) corresponding to the Liouville theory coupled to a

In this work, for a locally optimal solution to the NLSDP (2), we prove that under Robinson’s constraint qualification, the nonsingularity of Clarke’s Jacobian of the FB system

For a directed graphical model, we need to specify the conditional probability distribution (CPD) at each node.. • If the variables are discrete, it can be represented as a

In this paper, by using Takagi and Sugeno (T-S) fuzzy dynamic model, the H 1 output feedback control design problems for nonlinear stochastic systems with state- dependent noise,

We shall show that after finite times of switching, the premise variable of the fuzzy system will remain in the universe of discourse and stability of the adaptive control system

The objective of the present paper is to develop a simulation model that effectively predicts the dynamic behaviors of a wind hydrogen system that comprises subsystems