nonlinear system

Using the sector nonlinearity technique [1], the nonlinear system (47) is exactly converted into the following two-rule polynomial fuzzy system:

Such assumption is recently released in [8], where the authors propose a systematic design methodology for state observers for a large class of nonlinear systems with bounded exogenous inputs.

However, variation of this parameter makes the nonlinear system a candidate to be represented by a TS model.

In this paper, the nonlinear system motion model is studied by using SDRE nonlinear control method.

Consider a class of strict feedback MIMO nonlinear system with a time-varying input delay described as below:

Propeller pendulum is a nonlinear system and can be controlled well by classical control methods when the system is linearized around design point.

In general, the dynamics of nonlinear system in industry can be described by corresponding mathematical model.

For the Runge-Kutta method that is used to solve nonlinear system problem, one advantage of this Runge-Kutta method is high calculation accuracy, but this numerical approach cannot present this relationship of relevant parameters clearly.

Now we select the state space variables as [x.sub.1]= T, [x.sub.2] = [T.sub.c], [u.sub.1] = q and [u.sub.2] = [q.sub.c] and we obtain the nonlinear system as

Then, after fractions of such polynomials are defined [20,21], the transfer function of a nonlinear system is obtained.

In this paper, we study a generalized nonlinear system of second-order boundary value problems given by

Then the state-dependent Riccati equation was presented for an affine nonlinear system and finite horizon quadratic performance index.

The present paper presents a new analogue nonlinear system, based on multiplication as a nonlinear algebraic function, which has complex dynamics and can be applied for generating random-sign pulses or spread-spectrum clock signals.