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control input affine systems

Fuzzy Adaptive Control for a Class of Non-Affine Systems via Time Scale Separation

Fuzzy Adaptive Control for a Class of Non-Affine Systems via Time Scale Separation

... in control input to a new system in which the new control input variable appears in an affine ...the control input can be solved by inverting the fuzzy model in an ...

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State dependent NGMV control of delayed piecewise affine systems

State dependent NGMV control of delayed piecewise affine systems

... the control algorithm for state dependent systems, we use the general system description in ...the input signals are normally bounded for PWA systems, the first nonlinear subsystem is defined ...

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Active Disturbance Rejection Control for a Class of Non affine Nonlinear Systems via Neural Networks

Active Disturbance Rejection Control for a Class of Non affine Nonlinear Systems via Neural Networks

... Given a multi-input single-output RBFNN, n and m are the number of nodes in the input layer and hidden layer respectively. The excitation functions are Gauss function. Based on the approximation of RBFNN, ...

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Lyapunov stability for piecewise affine systems via cone-copositivity

Lyapunov stability for piecewise affine systems via cone-copositivity

... terms in the Lyapunov function. By using the cone- copositivity idea we derived conditions for the existence of a continuous PWQ-LF and hence for the asymptotic stability of PWA systems. The stability conditions ...

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Adaptive Neural Network Tracking Control for a Class of SISO Affine Nonlinear Uncertain Systems

Adaptive Neural Network Tracking Control for a Class of SISO Affine Nonlinear Uncertain Systems

... the control input signal is shown in ...The control signal and the estimated parameters are ...for control tracking of uncertain nonlinear ...

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A Novel Method for Optimal Control of Piecewise Affine Systems Using Semi-Definite Programming

A Novel Method for Optimal Control of Piecewise Affine Systems Using Semi-Definite Programming

... PWA systems optimal control and the majority of the studies are related to [27] programming, optimal control approaches for linear time invariant and time variant systems are reported in [28] ...

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THE LIMITS OF APPLICABILITY OF THE LINEARIZATION METHOD IN CALCULATING SMALL–TIME REACHABLE SETS

THE LIMITS OF APPLICABILITY OF THE LINEARIZATION METHOD IN CALCULATING SMALL–TIME REACHABLE SETS

... nonlinear systems with integral control ...linear control system with a single input is studied in Section ...for affine-control nonlinear systems on a small time ...

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On the Fuzzy Regulation of Non Linear Discrete-time Systems Affine in the Control

On the Fuzzy Regulation of Non Linear Discrete-time Systems Affine in the Control

... of control in the regulation of a nonlinear system ("Duffing forced- oscillation"), the first is based on the fuzzy linearization technique discrete input-output ...

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Single-Input Control Systems on the Euclidean Group SE(2)

Single-Input Control Systems on the Euclidean Group SE(2)

... left-invariant control affine system, evolving on the Eu- clidean group SE ...controllable control system is (detached feedback) equivalent to one of two typical ...optimal control problem ...

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NGMV control of delayed piecewise affine systems

NGMV control of delayed piecewise affine systems

... PWA systems have been studied in many papers, the system disturbances ( in system (1)) are not included in many of them, for example ...piecewise affine systems with disturbances [6] [7], ...

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DABC ORWNN . The proposed ORWNN combines the advantages

DABC ORWNN . The proposed ORWNN combines the advantages

... nonlinear systems [1, 4, ...virtual control inputs; then, the virtual controllers is designed step by ...actual control input can be ...fuzzy systems and neural networks to approximate ...

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Adaptive Offset Subspace Self Organizing Map: An Application to Handwritten Digit Recognition

Adaptive Offset Subspace Self Organizing Map: An Application to Handwritten Digit Recognition

... The input to an ASSOM network is typically an episode, ...an input episode X = { x (s), s ∈ S}, where S is the index set of vectors in the episode, Kohonen proposed to use the energy m( X , L) = ...

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Design of a Sliding Mode Controller (SMC) based on Reaching Law

Design of a Sliding Mode Controller (SMC) based on Reaching Law

... The variety of application of SMC controllers is very wide due to its robustness, associated to disturbance rejection capacity and simplicity [3]. SMC is a robust method for the systems which possesses some ...

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PD Controller Design with H¥ Performance for Linear Systems with Input Delay

PD Controller Design with H¥ Performance for Linear Systems with Input Delay

... Although some of the aforementioned works improve the robustness of the closed-loop system, they cannot guarantee the stability of the closed-loop system in presence of unknown delays, which may occur inevitably in many ...

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Feedback & Control System pdf

Feedback & Control System pdf

... 1.6 ANALOG AND DIGITAL CONTROL SYSTEMS The signals in a control system, for example, the input and the output waveforms, are typically functions of some independent variable, usually tim[r] ...

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An affine invariant relative attitude relationship descriptor for shape matching based on ratio histograms

An affine invariant relative attitude relationship descriptor for shape matching based on ratio histograms

... novel affine invariant histogram, named as ratio histograms (R-histo- gram), is proposed to describe the relative attitude rela- tionship between two ...for affine transformation ...

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The coordinated control of SVC and excitation of generators Using Adaptive Fuzzy Control

The coordinated control of SVC and excitation of generators Using Adaptive Fuzzy Control

... and control of differential and algebraic systems, the Indirect Adaptive fuzzy excitation control is presented in this paper for SVC (static var compensator) and generator excitation controllers in ...

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Testing goodness-of-fit in logistic case-control studies

Testing goodness-of-fit in logistic case-control studies

... The remainder of the paper is organized as follows. In the next section, the test statistic is constructed from the biased sampling perspective via a discrepancy between two kernel density estimators. The connection ...

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Research Article Robust Model Predictive Control of Networked Control Systems under Input Constraints and Packet Dropouts

Research Article Robust Model Predictive Control of Networked Control Systems under Input Constraints and Packet Dropouts

... certain control performance objective ...automatic control theory and industrial ...uncertain systems and then applied to angular positioning ...

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In low-input and organic systems.

In low-input and organic systems.

... However, since the crop affects pest species and abundance, the first crop in a rotation can also influence the entire rotation by increasing the weed seed, insect and plant parasitic ne[r] ...

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