[PDF] Top 20 Neural Network Adaptive Control for Discrete Time Nonlinear Nonnegative Dynamical Systems
Has 10000 "Neural Network Adaptive Control for Discrete Time Nonlinear Nonnegative Dynamical Systems" found on our website. Below are the top 20 most common "Neural Network Adaptive Control for Discrete Time Nonlinear Nonnegative Dynamical Systems".
Neural Network Adaptive Control for Discrete Time Nonlinear Nonnegative Dynamical Systems
... nonnegative dynamical systems are compartmental systems ...Compartmental systems involve dynamical models that are characterized by conservation laws ...of nonnegative ... See full document
29
Adaptive Control OF Nonlinear Multivariable Dynamical Systems Using MRAN-RBF Neural Networks
... practical systems have multiple inputs and multiple outputs, and the applicability of neural networks as practical adaptive identifiers and controllers will eventually be judged by their success in ... See full document
9
Adaptive finite time tracking control for nonlinear systems with unmodeled dynamics using neural networks
... novel adaptive finite-time tracking control scheme for nonlinear ...of control scheme, the unmodeled dynamics in nonlinear systems are taken into ...function neural ... See full document
17
Stabilization of Unknown Nonlinear Discrete Time Delay Systems Based on Neural Network
... physical systems are in continuous time, a considerable amount of attention has been payed to stability and control of continuous-time linear systems with delay ...ous-time ... See full document
9
Identification and Adaptive Control of Dynamic Nonlinear Systems Using Sigmoid Diagonal Recurrent Neural Network
... in nonlinear system identification and in adaptive control of nonlinear dynamical ...actual nonlinear system out- put and the neural network output ...proposed ... See full document
6
Neural Internal Model Control for tracking Unknown Nonaffine Nonlinear Discrete time Systems under External Disturbances
... of nonlinear internal model control (IMC), based on two feedforward neural networks, to control unknown nonaffine nonlinear ...The neural network models (internal model ... See full document
8
Adaptive Neural Network Tracking Control for a Class of SISO Affine Nonlinear Uncertain Systems
... the neural network approximation error in (14) is bounded , then the neural network controller and adaptation law given by (19) guarantees the convergence of the neural network ... See full document
7
Integrated optimal control and parameter estimation algorithms for discrete time nonlinear stochastic dynamical systems
... manipulator control problem (Li et al, 1999; Rohanin and Mohd Ismail, ...predictive control scheme based on the DISOPE algorithm for nonlinear cascaded systems under network ...under ... See full document
60
1. Stability analysis of brushless dc motor speed controllers design
... unknown nonlinear system between the NN and the output ...to nonlinear discrete time neuro – control scheme which consists of identification and adaptive control by using ... See full document
7
Neural networks based adaptive finite time control of switched nonlinear systems under time varying actuator failures
... fault-tolerant control in a finite time can reduce the defect caused by the system ...the nonlinear system also need to converge to a small domain of the origin in finite ...of nonlinear ... See full document
16
A Novel Concise Adaptive Neural Control for a Class of Nonlinear MIMO Systems with Unknown Time Delays
... robust adaptive control for a class of nonlinear MIMO systems with unknown ...concise adaptive neural control scheme is developed by using the Backstepping method, the ... See full document
7
Neural Network PID Algorithm for a Class of Discrete-Time Nonlinear Systems
... precision control, the control problem of nonlinear system is attracting more and more ...of nonlinear control system model has gradually become an im- portant topic in control ... See full document
14
Research of adaptive control algorithm research based on rough set and implementation
... an adaptive neural network algorithm has strong compatibility, some noise data, not including related function and reduce the input dimension, a fast learning process, uncertainty processing and ... See full document
7
Variable neural networks for adaptive control of nonlinear systems
... of neural network structure developed for learning systems is to begin with a larger network and then to prune this [32], [36], or to begin with a smaller network and then to expand ... See full document
11
Neural Network Adaptive Control for a Class of Matched SISO Nonlinear Uncertain Systems with Zero Dynamics
... the adaptive law (23) can not be ...same time ,to improve the robustness of adaptive law in the presence of the approximation error ,we modify it by introducing a σ -modification term as follows: [ ] ... See full document
7
Robust Sliding Mode Control for Nonlinear Discrete Time Delayed Systems Based on Neural Network
... structure control (VSC) [1] ...feedback control law which switches the system in a predefined subspace ...continuous time delay systems by using different approaches ...continuous time ... See full document
10
Optimized Controller Using LQG Approach for A Nonlinear Process
... commissioning time and reduced debugging ...Satisfactory control of industrial process sometimes fails due to lack of suitable process models or its inaccuracy or ... See full document
10
Discrete Chaos in Fractional Henon Map
... difference systems start to attract increasing attention due to its potential applications in secure communication and control ...the nonlinear phenomenon more accurately since their struc- ture is ... See full document
7
A Discrete Robust Adaptive Iterative Learning Control for a Class of Nonlinear Systems with Unknown Control Direction
... The discrete RAILC is presented in section ...proposed discrete RAILC and a derived error model, the analysis of closed-loop stability and learning performance will be studied extensively in Section ... See full document
6
Self Tuning Control of a Nonlinear Stochastic Systems Described by a Hammerstein Mathematical Model
... a nonlinear system operated in a stochastic ...the nonlinear dynamic systems described by Hammerstein mathematical models with unknown, time-varying ...self-tuning control problem of ... See full document
8
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