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nonlinear discrete-time dynamic systems

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

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

... System identification involves two coupled problems: the detection of the model structure and estimation of the parameters. The detection of the model structure depends on the values of the associated parameters and the ...

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arxiv: v2 [math.ds] 26 Apr 2015

arxiv: v2 [math.ds] 26 Apr 2015

... In time-invariant statistical models, the estimated parameter vector is usually considered real-valued ...the time-varying systems context we deal with here, the estimated parameter vector is modeled ...

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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

... Artificial neural networks (ANNs) emerged as powerful learning technique to perform complex tasks in highly nonlinear dynamic environment. Some of the basic ad- vantages of ANN models are: their ability to ...

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Neural Network Adaptive Control for Discrete Time Nonlinear Nonnegative Dynamical Systems

Neural Network Adaptive Control for Discrete Time Nonlinear Nonnegative Dynamical Systems

... Nonnegative and compartmental dynamical system models are derived from mass and energy balance considerations that involve dynamic states whose values are nonnegative. These models are widespread in engineering ...

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Second-Order Fault Tolerant Extended Kalman Filter for Discrete Time Nonlinear Systems

Second-Order Fault Tolerant Extended Kalman Filter for Discrete Time Nonlinear Systems

... malfunction rates. The proposed approach is a locally unbiased, minimum estimation error covariance based nonlinear observer designed for dynamic state estimation under these conditions. It has been ...

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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 the hotspot in the control ...the discrete-time nonlinear ...the dynamic linearization model of nonlinear system is designed based on Model Free Adaptive ...

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Integrated optimal control and parameter estimation algorithms for discrete time nonlinear stochastic dynamical systems

Integrated optimal control and parameter estimation algorithms for discrete time nonlinear stochastic dynamical systems

... a dynamic optimization problem, a control law is to be determined such that a given cost functional is minimized subject to a dynamic ...solving nonlinear optimal control problems via solving the ...

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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

... in dynamic systems due to measurement, transmission and transport lags, computational delays, or unmodeled inertia of system components, which has been generally regarded as a main source of instability and ...

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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

... ear dynamic systems has received extensively research attention; see [–] and the refer- ences ...a dynamic system plays a key role in many control ...general nonlinear system is not easy or ...

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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

... sampled-data nonlinear systems via their approximate discrete-time models that is applicable to general plant models, controllers and ap- proximate discrete-time models was rst ...

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Robustness of proper dynamic output feedback for discrete time singularly perturbed systems

Robustness of proper dynamic output feedback for discrete time singularly perturbed systems

... perturbed systems has attracted the atten- tion of many researchers for many years ...such systems is based on the two-time-scale decomposition technique, which can effec- tively alleviate the ill ...

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Adaptive Control OF Nonlinear Multivariable Dynamical Systems Using MRAN-RBF Neural Networks

Adaptive Control OF Nonlinear Multivariable Dynamical Systems Using MRAN-RBF Neural Networks

... a discrete time multivariable nonlinear ...of discrete time multivariable nonlinear ...training time to converge and fewer computational complexities to train the ...

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Observability and Controllability of MIMO Control Systems via Difference Equations

Observability and Controllability of MIMO Control Systems via Difference Equations

... of nonlinear multi input – multi output (MIMO) ...world systems comprise multiple interacting ...more time on holiday, but then one needs to spend more time at work to earn more ...

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A Survey on Topics Modeling Methods over Information Filtering

A Survey on Topics Modeling Methods over Information Filtering

... The topic model contains cluster of words with similar meanings and text,it contains different terms of topic modeling. In this paper we have discussed the general idea about the four types of topic modeling with their ...

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PID Controller Design for Nonlinear Systems Using Discrete-Time Local Model Networks

PID Controller Design for Nonlinear Systems Using Discrete-Time Local Model Networks

... Controller Design Workflow Testbed Maps Signals DoE [n, q, u] LMN SS-Model Local PIDs DoE Optimisation y Simulation Parameter Controller Maps Performance Stability Identif ication Dynami[r] ...

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Dynamic programming with recursive preferences

Dynamic programming with recursive preferences

... This realization drove a second wave of theoretical analysis built around certain types of con- cavity exhibited by many intertemporal preferences, often using the theory of monotone con- cave operators pioneered by ...

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Robust Preview Control for a Class of Uncertain Discrete Time Lipschitz Nonlinear Systems

Robust Preview Control for a Class of Uncertain Discrete Time Lipschitz Nonlinear Systems

... a discrete-time linear system with norm-bounded parameter ...Lipschitz systems and not suitable to deal with the tracking problem considered ...

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Improved Results on Delay-range-dependent Robust Stability Criteria of Uncertain Neutral Systems with Mixed Interval Time-varying Delays

Improved Results on Delay-range-dependent Robust Stability Criteria of Uncertain Neutral Systems with Mixed Interval Time-varying Delays

... interval time-varying delays was ...the discrete interval time- varying delay is ...are nonlinear time-varying parameter perturbations and norm-bounded uncertainties, ...interval ...

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MECH466 L5 ModelDCmotorLinearization

MECH466 L5 ModelDCmotorLinearization

... more time delay is, the more difficult to The more time delay is, the more difficult to control (Imagine that you are controlling the control (Imagine that you are controlling the temperature of your shower ...

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Robust Sliding Mode Control for Nonlinear Discrete Time Delayed Systems Based on Neural Network

Robust Sliding Mode Control for Nonlinear Discrete Time Delayed Systems Based on Neural Network

... unknown nonlinear functions can be approximated from neural ...for nonlinear control problems ...of discrete nonlinear systems was ...unknown nonlinear dis- crete-time ...

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