نتایج جستجو برای: nonlinear multi input

تعداد نتایج: 861404  

Journal: :Journal of The Franklin Institute-engineering and Applied Mathematics 2023

This paper addresses the observer-based event-triggered optimal control (ETOC) for unknown nonlinear Ito^-type stochastic multi-agent systems (SMASs) with input constraints. To begin with, Hamilton-Jacobi-Bellman (HJB) equation constraints is presented, and a sufficient criterion on mean-square leader-following consensus of constrained-input SMASs derived. Next, novel policy iteration algorithm...

2011
R. M. Ahmed S. A. Gadsden M. A. El Sayed S. R. Habibi

A multilayered neural network is a multi-input, multioutput (MIMO) nonlinear system in which training can be regarded as a nonlinear parameter estimation problem by estimating the network weights. In this paper, the relatively new smooth variable structure filter (SVSF) is used for the training of a nonlinear multilayered feed forward network. The SVSF is a recursive sliding mode parameter and ...

Journal: :iranian journal of science and technology (sciences) 2015
s. m. hosseini harat

in this study, a new efficient semi-analytical method is introduced to give approximate solutions of strongly nonlinear oscillators. the proposed method is based on combination of two different methods, the multi-step homotopy analysis method and spectral method, called the multi-step spectral homotopy analysis method (msham). in this method, firstly, we propose a new spectral homotopy analysis...

2014
Oladipupo Bello Yskandar Hamam Karim Djouani

The need for processes to be operated under tighter performance specifications and satisfy constraints have motivated the increasing applications of nonlinear model predictive control (MPC) by the process industry. Nonlinear MPC conveniently meets the higher product quality, productivity and safety demands of complex processes by taking into account the nonlinearities and constraints in the pro...

2004
BRUNO MAIONE PAOLO LINO ALESSANDRO RIZZO

In this paper, nonlinear dynamical black-box models of a common rail injection system for a CNG engine are developed. In particular, the common rail pressure dynamics is modeled on the basis of three input signals, easily and cheaply measurable on board a vehicle. The nonlinear model is identified by means of Multi Layer Perceptron neural networks. Both non-autoregressive (NMAX) and autoregress...

2012
Z. Wang P. Marzocca

In this paper, a class of multi-input/multi-output aeroelastic systems with unstructured nonlinear uncertainty is considered. By using leadingand trailing-edge control surface actuations, a continuous robust controller is proposed to suppress the aeroelastic vibrations of a nonlinearwing-sectionmodelwith plunging andpitching degrees of freedom. Under amild restriction that the system uncertaint...

2012
Dehri Khadija Ltaief Majda Nouri Ahmed Said

The Sliding Mode Control (SMC) is well known by its robustness to parameter uncertainties or external disturbances. The repetitive control (RC) is able to track or reject periodic and multi-periodic signals. This paper presents a new control strategy as a combination of a Sliding Mode approach and Repetitive Control to reject periodic and multi-periodic disturbances in the case of nonlinear mul...

Journal: :Simulation Modelling Practice and Theory 2002
Cheng Shen Guang-Yi Cao Xin-Jian Zhu

Modelling Molten Carbonate Fuel Cells (MCFC) is very difficult and the existing models are too complicated to be used for controlling design, especially for on-line control design. This paper presents the application of neural networks identification method to develop the nonlinear temperature model of MCFC stack. The hidden layer units of the neural networks consist of a set of nonlinear radia...

2005
Elisabetta Punta

The paper proposes an approach to second order sliding mode control for multi-input multi-output (MIMO) nonlinear uncertain systems. With respect to standard sliding mode control, the second order sliding mode techniques for singleinput single-output (SISO) systems show the same properties of robustness and precision, feature a higher order accuracy and can be exploited to eliminate the chatter...

2012
Prasad P Kulkarni

This study represents simulation of single spot and multi spot welded specimen by using Monte carol method i.e. Latin hypercube sampling. A three dimensional nonlinear finite element analysis of multi-spot welded lap shear specimen is performed and uncertainty in shear strength of spot weld is analyzed. Thickness and nugget radius are randomly varied within effective range and their effect on t...

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