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[PDF] Top 20 A Stable Self-Learning Optimal Fuzzy Control System

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A Stable Self-Learning Optimal Fuzzy Control System

A Stable Self-Learning Optimal Fuzzy Control System

... to control a complex or ill-defined system [4-5] as human experts ...extracting control rules from domain experts is not an easy mission ...on self-learning or ... See full document

9

A NEURAL FUZZY CONTROL-SYSTEM WITH STRUCTURE AND PARAMETER LEARNING

A NEURAL FUZZY CONTROL-SYSTEM WITH STRUCTURE AND PARAMETER LEARNING

... In this section, we shall present the proposed two-phase learning scheme for realizing the N F C N from the given input-output training data sets. In phase one, a self-organize[r] ... See full document

30

Fuzzy-identification-based adaptive backstepping control using a self-organizing fuzzy system

Fuzzy-identification-based adaptive backstepping control using a self-organizing fuzzy system

... containing a SFS is designed in the sense of the adaptive backstepping control ...parameter learning is used to on-line estimate the controlled system ...structure learning considers ... See full document

13

GA-based fuzzy reinforcement learning for control of a magnetic bearing system

GA-based fuzzy reinforcement learning for control of a magnetic bearing system

... provide a more informative internal reinforcement signal to the action net- ...TDGAR learning scheme is to formulate the internal re- inforcement signal as the fitness function for the ...TDGAR ... See full document

14

Self-learning fuzzy sliding-mode control for antilock braking systems

Self-learning fuzzy sliding-mode control for antilock braking systems

... Self-Learning Fuzzy Sliding-Mode Control for Antilock Braking Systems Chih-Min Lin and Chun-Fei Hsu Abstract—The antilock braking system (ABS) is designed to op- timize braking ... See full document

6

Self-organizing fuzzy control of multi-variable systems using learning vector quantization network

Self-organizing fuzzy control of multi-variable systems using learning vector quantization network

... Conclusion A hierarchical self-organizing fuzzy logic controller using LVQ network has been proposed for the robust tracking control of unknown nonlinear composite ...systems. A ... See full document

16

Monitoring and self-learning fuzzy control for wire rupture prevention in wire electrical discharge machining

Monitoring and self-learning fuzzy control for wire rupture prevention in wire electrical discharge machining

... In this paper a WEDM sparking frequency monitoring system is developed, and a self-learning fuzzy control strategy is proposed not only to control the sparking freq[r] ... See full document

15

Self-organizing fuzzy learning CLOS guidance law design

Self-organizing fuzzy learning CLOS guidance law design

... in control engineering and a ...as a deputy director of system engineering of missile ...currently a professor and the Chairman of the Department of Electrical ...include fuzzy ... See full document

8

Optimal fuzzy controller design in continuous fuzzy system: Global concept approach

Optimal fuzzy controller design in continuous fuzzy system: Global concept approach

... the optimal control law which can achieve global minimum effect is developed ...and a forward Riccati-like differ- ential equation (DE) for the infinite-horizon ...computation, a segmental ... See full document

17

Self-tuning fuzzy control with a grey prediction for wire rupture prevention in WEDM

Self-tuning fuzzy control with a grey prediction for wire rupture prevention in WEDM

... in a sampling period, is taken to rep- resent the gap state in ...processing. A gain self-tuning fuzzy control system has been developed to cope with the conditions that often ... See full document

10

Design of stable and quadratic-optimal static output feedback controllers for TS-fuzzy-model-based control systems: an  integrative computational approach

Design of stable and quadratic-optimal static output feedback controllers for TS-fuzzy-model-based control systems: an integrative computational approach

... the stable and quadratic-optimal static output feedback PDC controllers of the TS-fuzzy-model-based control systems such that the control objective of directly minimizing a ... See full document

8

DESIGN OF STABLE AND QUADRATIC-OPTIMAL STATIC OUTPUT FEEDBACK CONTROLLERS FOR TS-FUZZY-MODEL-BASED CONTROL SYSTEMS: AN INTEGRATIVE COMPUTATIONAL APPROACH

DESIGN OF STABLE AND QUADRATIC-OPTIMAL STATIC OUTPUT FEEDBACK CONTROLLERS FOR TS-FUZZY-MODEL-BASED CONTROL SYSTEMS: AN INTEGRATIVE COMPUTATIONAL APPROACH

... where a single model is used to describe the global behavior of a nonlinear control system, the TS fuzzy modeling approach is essen- tially a multi-model approach in which the ... See full document

8

Dynamic optimal learning rates of a certain class of fuzzy neural networks and its applications with genetic algorithm

Dynamic optimal learning rates of a certain class of fuzzy neural networks and its applications with genetic algorithm

... up control of a truck is a very difficult exercise for all but the most skilled truck drivers since its dynamics are nonlinear and ...methodology, a FNN controller for backing up a ... See full document

9

Application of Optimal Control and Fuzzy Theory for Dynamic Groundwater Remediation Design

Application of Optimal Control and Fuzzy Theory for Dynamic Groundwater Remediation Design

... Network-based Fuzzy Inference System (ANFIS) This paper presents the architecture and learning procedure underlying ...is a neuro-adaptive learning method for the fuzzy modeling ... See full document

14

A self-learning fuzzy controller

A self-learning fuzzy controller

... The proposed scheme is able to find proper control actions in the rule-base of a fuzzy controller for a number of different dynamic systems, including the well-known cart-pole sys[r] ... See full document

8

Self-learning fuzzy controller with a fuzzy supervisor

Self-learning fuzzy controller with a fuzzy supervisor

... If the concept of punishments and rewards could be applied to the construction of a fuzzy controller's rulebase, it should make the construction of a rulebase r[r] ... See full document

6

A neural fuzzy system with fuzzy supervised learning

A neural fuzzy system with fuzzy supervised learning

... 144 IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS-PART B: CYBERNETICS, VOL. This system is able to process and learn numerical information as well as linguistic inf[r] ... See full document

20

A GA-based fuzzy adaptive learning control network

A GA-based fuzzy adaptive learning control network

... Learned fuzzy rules in the truck backing-upper control ...by a small xed distance d = 1:6 at every step and the length of the truck is set to be l = ...the fuzzy ART algorithm. During this ... See full document

20

A self-learning fault diagnosis system based on reinforcement learning

A self-learning fault diagnosis system based on reinforcement learning

... With input and output patterns available, the GDR is employed to su- pervise the learning of the network until the actual output patterns are close to the target output patterns wit[r] ... See full document

11

A heuristic criterion algorithm of the self-learning fuzzy controller

A heuristic criterion algorithm of the self-learning fuzzy controller

... His controller's structure is the same as Barto's controller but he used fuzzy rules to control the plant.. His ASE is the combination of a fuzzy controller and an asso[r] ... See full document

6

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