[PDF] Top 20 A neural network approach of input-output linearization of affine nonlinear systems
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A neural network approach of input-output linearization of affine nonlinear systems
... Feedback linearization based on concepts from differential geometry [2,6,9] can be adopted as a design methodology of nonlinear control systems. Using nonlinear coor[r] ... See full document
5
Direct adaptive iterative learning control of nonlinear systems using an output-recurrent fuzzy neural network
... paper, a direct adaptive iterative learning con- trol (DAILC) based on a new output-recurrent fuzzy neural net- work (ORFNN) is presented for a class of repeatable ... See full document
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Output-feedback control of nonlinear systems using direct adaptive fuzzy-neural controller
... discrete-time systems [12,31,29,22,13]. The fundamental ideal of feedback linearization is to transform a nonlinear system into a linear one, so that linear control techniques ... See full document
18
H-infinity control for nonlinear affine systems: a chain-scattering matrix description approach
... Department of Electrical and Control Engineering, National Chiao-Tung University, Hsinchu, Taiwan SUMMARY This paper combines an alternative chain-scattering matrix description with (J, J )-lossless and a ... See full document
19
On minimum-fuel control of affine nonlinear systems
... Abstract-The minimum-fuel control problem is investigated for a class of multiinput affine nonlinear systems whose associated Lie algebra is nilpotent.. Interesting consequen[r] ... See full document
4
Linearization of Nonlinear Models
... nonlinear models) and are necessary for most control system design methods... • Assume only the second tank height is measured.. fast subspace). • Consider the following system equation[r] ... See full document
15
Neural network approach to variable structure based adaptive tracking of SISO systems
... In the past two decades, model reference adap- tive control (MRAC) has evolved as one of the most soundly developed adaptive control techniques, though several constra[r] ... See full document
6
Dynamic output feedback control of nonlinear singularly perturbed systems
... Combining the dynamic output feedback controller that stabilizes the reduced-order model of the linear part of the nonlinear singularly perturbed system with the quasi-s[r] ... See full document
27
ON THE IDENTIFICATION OF POLYNOMIAL INPUT-OUTPUT DIFFERENTIAL-SYSTEMS
... Given the input-output data over a single finite time interval for a one-shot estimate, or over a sequence of finite time intervals for sequential least squares, the under[r] ... See full document
5
The Application of Neural Network Approach to Radar Systems 蘇進東、鍾翼能
... algorithm. A new approach to multiple target tracking algorithm based on the Neural Network approach is ...this approach, the matching between radar measurements and existing ... See full document
2
Robust stability of uncertain systems with input delay and output feedback controller
... Robust Stability of Uncertain Systems with Input Delay andl Output Feedback Controller.. I-Kong Fong and C h i - h e y Jou Departiiient of Electrical Engineering.[r] ... See full document
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Neural-network-based optimal fuzzy controller design for nonlinear systems
... closed-loop systems. 4. Conclusions A neural-learning-based fuzzy inference network, which emphasizes physical system input- and state- dependence consequences in each fuzzy rule, is ... See full document
26
ADAPTIVE-CONTROL OF A CLASS OF NONLINEAR DISCRETE-TIME-SYSTEMS USING NEURAL NETWORKS
... relax these restrictions and work on the tracking problem, it became clear that the learning rule (28) would be inadequate. The source of the problem is partly from model uncertaint[r] ... See full document
11
A neural network approach to channel routing
... In addition, the density of channel, which is the maximal number of horizontal segments crossing a vertical line, presents another lower bound of channel width.. Neural N[r] ... See full document
4
A neural network approach for structural identification and diagnosis of a building from seismic response data
... presents a novel procedure for identifying the dynamic characteristics of a building and diagnosing whether the building has been damaged by earthquakes, using a back-propagation neural ... See full document
20
A NEURAL NETWORK APPROACH TO MVDR BEAMFORMING PROBLEM
... optimization problems, especially, the linear programming and signal decomposition/decision problems, by the pro- gramming of synaptic weights stored as a conductance ma[r] ... See full document
10
Nonlinear input mapping in fuzzy control systems
... If different menibership functions could deduce different performance, using nonlinear mapping properly, we can get suitable membership function to achieve better perfo[r] ... See full document
5
Stability Analysis of Neural-Network Large-scale Systems
... representations, a stability criterion in terms of Lyapunov's direct method is derived to guarantee the asymptotic stability of NN large-scale ...Finally, a numerical example with simulations ... See full document
16
A Neural Network Approach for the On-line Estimation of Workpiece Height in WEDM
... proportion of abnormal sparks can be computed as N t /Dt and N n /N t , ...current of this power supply system has a triangular waveform with a current rise of 400 ...by a hand ... See full document
7
Training of Neural Network Classifier by combining Hyperplane with Exemplar Approach
... of each approach could be relieved. According to the above description, we want to build a hyperplane and exemplar combined classifier algorithm with appropriate network[r] ... See full document
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