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nonlinear discrete time system

BOUNDARY VALUE PROBLEM FOR A TWO-TIME-SCALE NONLINEAR DISCRETE SYSTEM

BOUNDARY VALUE PROBLEM FOR A TWO-TIME-SCALE NONLINEAR DISCRETE SYSTEM

... Singularly perturbed discrete systems (SPDSs) occur in engineering and applied mathematics. Contrary to the continuous-time counterpart, they could be char- acterized by numerous models (see [3], [12], ...

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Stabilization of nonlinear discrete time systems via a digital communication channel

Stabilization of nonlinear discrete time systems via a digital communication channel

... a nonlinear dy- namic state feedback controller which can be applied to an arbitrary linear discrete-time system subject to standard assumptions of controllability and ...real time, ...

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New Criteria on Delay-range-dependent Robust Stability for LPD Discrete-time System with Interval Discrete and Distributed Time-varying Delays and Nonlinear Perturbations

New Criteria on Delay-range-dependent Robust Stability for LPD Discrete-time System with Interval Discrete and Distributed Time-varying Delays and Nonlinear Perturbations

... The problem of delay-range-dependent robust stability for LPD discrete-time system with interval discrete and distributed time-varying delays and nonlinear perturbations was ...

6

On stability analysis of discrete time uncertain switched nonlinear time delay systems

On stability analysis of discrete time uncertain switched nonlinear time delay systems

... switched system is composed of a family of subsystems described by differential or difference equations and a switching rule orchestrating the switching between the subsystems that have attracted much attention in ...

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Self Tuning Control of a Nonlinear Stochastic Systems Described by a Hammerstein Mathematical Model

Self Tuning Control of a Nonlinear Stochastic Systems Described by a Hammerstein Mathematical Model

... The formulation of this parametric estimation problem is made by using the prediction error method which is based on the minimization of a quadratic criterion, based on the difference between the output system and ...

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Input to state stability for parameterized discrete time time varying nonlinear systems with applications

Input to state stability for parameterized discrete time time varying nonlinear systems with applications

... the system (58), but for the approximate model ...the time-invariant case, that under certain conditions the stability of the con- trolled exact discrete-time model is implied from the ...

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State estimation for discrete time systems with generalized Lipschitz nonlinear dynamics

State estimation for discrete time systems with generalized Lipschitz nonlinear dynamics

... dynamic system plays a key role in many control ...general nonlinear system is not easy or even impos- ...sector nonlinear systems. For Lipschitz nonlinear systems, the existence con- ...

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Identification of continuous-time models for nonlinear dynamic systems from discrete data

Identification of continuous-time models for nonlinear dynamic systems from discrete data

... continuous time models: the direct methods and the indirect methods (Unbehauen & Rao, ...continuous time models directly from discrete data, but this often involves the reconstruction of the ...

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Stabilization of Unknown Nonlinear Discrete Time Delay Systems Based on Neural Network

Stabilization of Unknown Nonlinear Discrete Time Delay Systems Based on Neural Network

... unknown nonlinear func- tions of the system are approximated through Chebyshev neural networks ...the nonlinear system in terms of simple ...

9

Stability analysis of a discrete competitive system with nonlinear interinhibition terms

Stability analysis of a discrete competitive system with nonlinear interinhibition terms

... It is well known that, compared to the continuous-time systems, the discrete-time ones are more difficult to deal with. Stimulated by the works of Chen and Teng [], Qin, Liu, and Chen [], and Chen ...

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Neural Network PID Algorithm for a Class of Discrete-Time Nonlinear Systems

Neural Network PID Algorithm for a Class of Discrete-Time Nonlinear Systems

... of nonlinear system is attracting more and more ...of nonlinear control system model has gradually become an im- portant topic in control ...of nonlinear system mainly contain ...

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On delay interval dependent robust stability of LPD discrete time system with mixed time varying delays and nonlinear uncertainties

On delay interval dependent robust stability of LPD discrete time system with mixed time varying delays and nonlinear uncertainties

... delay-interval-dependent asymptotic stability criterion is derived in the form of linear matrix inequalities. Moreover, an improved delay-interval-dependent asymptotic stability criterion of discrete-time ...

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On stability of discrete time systems under nonlinear time varying perturbations

On stability of discrete time systems under nonlinear time varying perturbations

... Conversely, assume that the zero solution of () is globally asymptotically stable for any nonlinearity N satisfying () for some γ > . Then the unperturbed system () is asymptotically stable. As mentioned ...

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Output feedback stabilization of nonlinear discrete time systems with time delay

Output feedback stabilization of nonlinear discrete time systems with time delay

... asymptotically stable, but also guarantees an adequate level of performance index. One way to address the robust performance problem is to consider a linear quadratic cost function. This approach is the so-called ...

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On the spectrum of oscillations in economics

On the spectrum of oscillations in economics

... different time dependent oscillations of economic variables in the economics, 2) introduces the notion of the Ledenyov discrete time signals in the economics for the first time, 3) proposes ...

49

Multivariable system identification for dynamic discrete time nonlinear system using genetic algorithm

Multivariable system identification for dynamic discrete time nonlinear system using genetic algorithm

... The number of possible terms in AutoRegressivs Moving Average with eXogenous input or ARMAX model is equal to the sum of allowable maximum lags while the maximum numb= of terms in NARMAX[r] ...

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Research of adaptive control algorithm research based on rough set and implementation

Research of adaptive control algorithm research based on rough set and implementation

... the system asymptotically stable and robust. Then, discrete time nonlinear system by the uncertainty of output correction factor, for neural network prediction, this paper proposes a ...

7

Asymptotic Behavior of a Discrete Nonlinear Oscillator with Damping Dynamical System

Asymptotic Behavior of a Discrete Nonlinear Oscillator with Damping Dynamical System

... is called inertial proximal method and has been studied in 3. This iterative algorithm gives a method for approximation of a zero of a maximal monotone operator. In this paper, we propose another discrete version ...

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A note on input to state stabilization for nonlinear sampled data systems

A note on input to state stabilization for nonlinear sampled data systems

... 0.001 67.81 63.62 63.70 63.70 Table 1: ROAs in disturbance free case. Table 2: Performance with a disturbance We applied the controllers (29) via a sampler and zero order hold to the continuous-time plant model ...

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Root selection methods in flood analysis

Root selection methods in flood analysis

... original time domain gives the estimated rainfall pattern of ...data time step, indicates a single reservoir of lag time K 1 = 2 hours as a good ...lag time as an excellent ...

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