[PDF] Top 20 A Functional-Link-Based Neurofuzzy Network for Nonlinear System Control
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A Functional-Link-Based Neurofuzzy Network for Nonlinear System Control
... high-order nonlinear or overly complex systems if it can suitably adopt the consequent part of a nonlinear combi- nation of input variables, and a functional expansion of multiple ... See full document
17
A functional-link-based fuzzy neural network for temperature control
... instant. A set-point of 50 ° C is adopted in this set of simulations. For the FLFNN controller, the same training scheme, training data and learning parameters as were used in the first set of ... See full document
6
Hybrid system based adaptive control for the nonlinear HVAC system
... controller for the non- linear MIMO HVAC system which is modelled to have some unknown parameters, to achieve robust and good heating, ventilating, and air conditioning ...the system with the ... See full document
6
A recurrent functional-link-based neural fuzzy system and its applications
... [email protected]) link neural network ...add a new node which satisfies the fuzzy partition of the input ...is a recursive learning algorithm based on the ordered derivative ... See full document
6
High-Order Hopfield-based Neural Network for Nonlinear System Identification
... paper, a new high-order Hopfield-based neural network (HOHNN) is ...basically a HNN with the compact functional link net whose exact analytical expression is also proposed in ... See full document
6
A diagonal recurrent neural network based FES system for the knee joint position control
... A diagonal recurrent neural network (DRNN) based functional electrical stimulation (FES) system was designed to control the knee joint to move in accordance with the desir[r] ... See full document
2
Design of a lane detection and departure warning system using functional-link-based neuro-fuzzy networks
... uses a functional link neural network (FLNN) to the consequent part of the fuzzy ...in a functional expansion of the ...is a nonlinear combination of input ... See full document
7
Neural-network-based optimal fuzzy controller design for nonlinear systems
... to a fuzzy subsystem, the composed global decision can be a global minimizer oftotal cost with regard to a fuzzy ...words, based on the local viewpoint ofthe global optimal fuzzy ... See full document
26
Counterpropagation fuzzy-neural network for city flood control system
... solutions. Based on the realization that a fuzzy logic is a nonlinear mapping from an input space to an output space and a neural network can be adapted to data, a fusion ... See full document
11
GA-based fuzzy reinforcement learning for control of a magnetic bearing system
... After a new real-value string is created, an interpreter takes this real-value string and uses it to set the parameters in the ac- tion ...action network then runs in a feedforward fashion to ... See full document
14
Wavelet adaptive backstepping control for a class of nonlinear systems
... neural network-based control technique has represented an alternative method to solve control problems ...or nonlinear mapping through learning. Based on their approximation ... See full document
9
A Genetic Functional-Link Network for Camera Movement Classification
... paper a Genetic Functional-Link Net- work (GFLN) that employs Gaussian functions in a feedfor- ward functional-link network (FLN) for classifying camera movement ... See full document
6
A Functional Link Network with Higher Order Statistics for Signal Enhancement
... provides a good performance for signal enhancement under stationary and nonstationary Gaussian ...rates for the FLN can provide better performance, they also cause slow convergence for ... See full document
6
Neurofuzzy-model-following control of MIMO nonlinear systems
... Abstract: A neurofuzzy logic controller with a compensating neural network and a fine-tuning mechanism in the consequent membership functions is proposed to design the model[r] ... See full document
8
Nonlinear System Control Using Adaptive Neural Fuzzy Networks Based on a Modified Differential Evolution
... proposes a modified differential evolution (MODE) for an ANFN ...adopts a method to effectively search between the best-so-far individ- ual and randomly chosen individuals, and employs an adaptive ... See full document
15
Nonlinear and Switching Control for the HVAC System
... to control and optimize the operation with guaranteed perfor- mance, stability and reliability becomes a challenging issue since the air conditioning process is highly non-linear; the interaction between ... See full document
6
Design of adaptive fuzzy sliding mode for nonlinear system control
... fuzzy system. By introducing the sliding mode to the FLC and fuzzifying the sliding surface, the FSMC has a fuzzy sliding mode which is similar to crisp sliding mode b[r] ... See full document
5
A sliding observer for nonlinear process control
... As a re- sult, if the control using full state feedback is globally stable within a defined domain of x, it should be possible to incorporate a carefully desig[r] ... See full document
19
Integral variable structure control of nonlinear system using CMAC-based learning approach
... A CMAC-based controller with a compensating neural network and an update rule is proposed to design the integral variable structure control (IVSC) of nonlinear sy[r] ... See full document
6
The Design of Control System and Power Conditioning System for a 25-kW Active-Control Based Wind Turbine System
... helpful for the design and test of the MPPT algorithm of power conditioning system under different wind speed ...The control system of the test platform is implemented by MATLAB/Simulink with ... See full document
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