Given a nonlinear control system m x(t) = f(x(t)) + I u.(t)g.(x(t)J on H and a point x. in R, we want to approximate the system near x by a linear system. Of course, one approach is to use the usual Taylor series linearization. However, the controllability properties of both the nonlinear and linear systems depend on certain Lie brackets of the vector field under consideration. This suggests th...

To control structures against wind and earthquake excitations, Adaptive Neuro Fuzzy Inference Systems and Neural Networks are combined in this study. The control scheme consists of an ANFIS inverse model of the structure to assess the control force. Considering existing ANFIS controllers, which require a second controller to generate training data, the authors’ approach does not need anot...

‎this paper deals with the singular sturm-liouville expressions‎ ‎$ ‎ell y =‎ -‎y''+q(x)y=lambda y‎ ‎$‎ ‎on a finite interval‎, ‎where the potential function $q$ is real and‎ ‎has a singularity inside the interval‎. ‎using the asymptotic estimates of a‎ ‎spectral fundamental system of solutions of sturm-liouville‎ ‎equation‎, ‎the asymptotic form of the solution of the‎ ‎equation (0.1) and the ...

The vibration pattern of a rotor system reflects the mechanical parameter changes in the system. Hence, the use of vibration monitoring is considered as a possible means of detecting the presence and growth of the cracks. In this paper, a pattern search based method for shaft crack detection is proposed and described which formulates the shaft crack detection as an optimization problem by means...

in this paper, a numerical method for nding minimal solution of a mn fullyfuzzy linear system of the form ax = b based on pseudo inverse calculation,is given when the central matrix of coecients is row full rank or column fullrank, and where a~ is a non-negative fuzzy mn matrix, the unknown vectorx is a vector consisting of n non-negative fuzzy numbers and the constant b isa vector consisti...

Understanding human motor control involves studying the principles used to optimize dynamic movement. This process requires accurate modeling and simulation of musculoskeletal kinematics, reconstruction of motion dynamics, and characterization of elite performance motor skills. Motivated by the previous robotics research applied to these challenges, the present research aims to leverage the tas...

Specific to typical multi-variable, strong-coupling and nonlinear penicillin fermentation process, by combination of an inverse system method and a support vector machine theory, a nonlinear robust decoupling control method based on MLS-SVM inversion is proposed. Firstly, a dynamic system model is developed based on material balance relation of fed-batch fermentation process, and existence of i...

This paper provides an effective design method of inverse filters for use in multichannel 3D sound rendering. In order to obtain the optimal solution of the inverse filter, the conventional adaptive algorithm requires that the parameters are properly tuned through lots of time and effort while through the proposed method we can systematically obtain the inverse filter with the desired accuracy ...