Most industrial systems today are nonlinear and dynamic. Traditional fault detection techniques show their limits because they can hardly extract both dynamic features simultaneously. Canonical variate analysis (CVA) shows its excellent monitoring performance in for processes but is not applicable to processes. Inspired by the CVA method, a novel process namely, “canonical kernel analysis” (CVK...

This study focuses on the shape optimization of concrete gravity dams considering dam–water–foundation interaction and nonlinear effects subject to earthquake. The concrete gravity dam is considered as a two–dimensional structure involving the geometry and material nonlinearity effects. For the description of the nonlinear behavior of concrete material under earthquake loads, the Drucker–Prager...

Because the process of observation deenes a natural topological nesting of geometric structures of the jet bundle, we propose to model this process by a nonlinear evolution equation that we may obtain upon changing gradually the metric underlying the linear isotropic rescaling process. We a propose to derive a nonlinear rescaling process that is connected to the linear isotropic rescaling proce...

neural networks are applicable in identification systems from input-output data. in this report, we analyze thehammerstein-wiener models and identify them. thehammerstein-wiener systems are the simplest type of block orientednonlinear systems where the linear dynamic block issandwiched in between two static nonlinear blocks, whichappear in many engineering applications; the aim of nonlinearsyst...

In this paper, we present a capable algorithm for solving a class of nonlinear optimal control problems (OCP's). The approach rest mainly on the differential transform method (DTM) which is one of the approximate methods. The DTM is a powerful and efficient technique for finding solutions of nonlinear equations without the need of a linearization process. Utilizing this approach, the optimal co...

In this paper, a method of nonlinear control systems design for a water level process is proposed. This design method uses operator based robust right coprime factorization for the nonlinear process system, as a result, robust stability of the nonlinear process system is guaranteed. For the obtained robust stable process system, an operator based process tracking controller is also designed to ...

In this article to prove existence of solution of infinite system of nonlinear integral equations, we consider the space of solution containing all convergence sequences with a finite limit, as with a suitable norm is a Banach space. By creating a generalization of Meir-Keeler condensing operators which is named as F-generalized Meir-Keeler condensing operators and measure of noncompactness, we...

A new computational method based on Wilson wavelets is proposed for solving a class of nonlinear stochastic It^{o}-Volterra integral equations. To do this a new stochastic operational matrix of It^{o} integration for Wilson wavelets is obtained. Block pulse functions (BPFs) and collocation method are used to generate a process to forming this matrix. Using these basis functions and their operat...

switching supervisory is the most important section of a feedback control process inmimo hybrid systems. by choosing a non-compatible controller, system may go tounstable mode or high overshoot response. in this paper, a new method of switchingfor selecting mbc controllers is discussed. results of the simulation show the mimo(2-in 2-out) linear hybrid system can be switched stable and low overs...

Laguerre function has many advantages such as good approximation capability for different systems, low computational complexity and the facility of on-line parameter identification. Therefore, it is widely adopted for complex industrial process control. In this work, Laguerre function based adaptive model predictive control algorithm (AMPC) was implemented to control continuous stirred tank rea...