• No results found

continuous time nonlinear system

Fuzzy H-infinity output feedback control of nonlinear systems under sampled measurements

Fuzzy H-infinity output feedback control of nonlinear systems under sampled measurements

... of nonlinear systems. A nonlinear systems is first described by a continuous-time fuzzy system model under sampled output ...fuzzy system model are allowed to be ...

22

Time-varying Gain HOSM Control for SISO Uncertain Nonlinear System

Time-varying Gain HOSM Control for SISO Uncertain Nonlinear System

... design time-varying continuous HOSM control without over-estimation for a class of nonlinear uncertain SISO ...finite time stabilization of perturbed integrator ...nominal continuous ...

7

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

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

... identify continuous time models from noisy data by combining the modulating function method and the iterative orthogonal forward regression (iOFR) ...the system states or between the input and ...

22

Synchronization of Nonlinear Continuous-time Systems by Sampled-data Output Feedback Control

Synchronization of Nonlinear Continuous-time Systems by Sampled-data Output Feedback Control

... between nonlinear sampled-data observer and nonlinear continuous-time observer driven by sampled-data output, although they all use only sampled data of the ...discrete- time systems ...

7

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

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

... the continuous-time counterpart, they could be char- acterized by numerous models (see [3], [12], [13], [14], [15], ...of nonlinear SPDS introduced in [6] and ...

10

Uncertainty propagation and quantification in a continuous time dynamical system

Uncertainty propagation and quantification in a continuous time dynamical system

... Based on the discussions in Sections 2 and 3 we see that all the structured population models presented in this paper can be associated with stochastic processes, which can be obtained due to the ...

45

Major depressive disorder as a nonlinear dynamic system: bimodality in the frequency distribution of depressive symptoms over time

Major depressive disorder as a nonlinear dynamic system: bimodality in the frequency distribution of depressive symptoms over time

... a nonlinear system, the relation- ship between the control parameters and the behaviour of the system is more ...Small continuous changes of a control parameter can sometimes lead to large and ...

9

State bounding estimation for a linear continuous time singular system with time varying delay

State bounding estimation for a linear continuous time singular system with time varying delay

... for nonlinear singular systems by applying different methods (see ...with time delays by using a Lyapunov–Krasovskii func- tional but not the maximal Lyapunov–Krasovskii ...

17

Fault detection filter design for continuous time nonlinear Markovian jump systems with mode dependent delay and time varying transition probabilities

Fault detection filter design for continuous time nonlinear Markovian jump systems with mode dependent delay and time varying transition probabilities

... error system () is mean-square ex- ponentially stable with H ∞ performance γ if, for every system mode and delay mode, the filtering error system () with w(t) =  is mean-square exponentially ...

23

Asymptotical stability of a nonlinear non differentiable dynamic system in microbial continuous cultures

Asymptotical stability of a nonlinear non differentiable dynamic system in microbial continuous cultures

... three-dimensional system by introducing its ...eight-dimensional system taking the changes of con- centrations of intracellular substances into ...for nonlinear difference ...initial time and ...

14

Computational system identification of continuous-time nonlinear systems using approximate Bayesian computation

Computational system identification of continuous-time nonlinear systems using approximate Bayesian computation

... In Bayesian estimation for dynamic systems, the ABC methods have become popular due to the fact that they can be used on a range of problems without modification, for instance (i) systems described by either ordinary, ...

15

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 the ...

49

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

... with time-varying delays have been well rec- ognized to be typical examples of applications to engineering ...and continuous-time systems with respect to uncer- tainty about time-invariant ...

18

Describing Chaos of Continuous Time System Using Bounded Space Curve

Describing Chaos of Continuous Time System Using Bounded Space Curve

... dynamical system expressed with nonlinear differential equation can be divided into two ...such nonlinear dynamic circuits, so its solution cannot be treated as the synthesis of multi- ...last; ...

14

Continuous time portfolio optimization

Continuous time portfolio optimization

... Development of foreign financial market and a variety of financial derivatives stimulate the study on theory and empirical analysis of portfolio which focused on how to use portfolio strategies to avoid risk and how to ...

10

A continuous-in-time financial model

A continuous-in-time financial model

... This example illustrates well the capability of our model to be used in a strategy elaboration process. This capability is entirely linked with its continuous-in-time nature. Indeed, this nature brings to ...

36

b) For a continuous time system, if we want the (2 %) settling time to be T, then we need

b) For a continuous time system, if we want the (2 %) settling time to be T, then we need

... 10) In addition to determining | H j ( ω ) | and ∠ H j ( ω ) analytically, we can read these values from a Bode plot of the transfer function. Of course the magnitude portion of a Bode plot is in dB, and we need the ...

10

Continuous Improvement – Development with Time

Continuous Improvement – Development with Time

... Beginning of the CI known today can be considered to be from 1800s in the form of initiatives taken by various organizations’ managements, to encourage improvement driven by employees that were rewarded by incentives ...

5

Root selection methods in flood analysis

Root selection methods in flood analysis

... Difficulties often arise in relation to the estimation of effective precipitation for the purpose of flood prediction using linear models. These include (a) the difficulties in estimating areal precipitation accurately, ...

12

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] ...

6

Show all 10000 documents...

Related subjects