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A general learning scheme for CMAC-based controller
Zhiming Jiang
,
Shengwei Wang
The Hong Kong Polytechnic University
Research output
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Journal article publication
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Journal article
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Academic research
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peer-review
7
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Keyphrases
Controller
100%
Recurrent Cerebellar Model Articulation Controller (RCMAC)
100%
General Learning
100%
Learning Scheme
100%
Oscillation
33%
Stable Control
33%
Plant Model
16%
Nonlinear Plant
16%
Learning Algorithm
16%
Nonlinear Control
16%
Memory Space
16%
Closed-loop
16%
Dynamic Control
16%
Dynamic Information
16%
Quality Robustness
16%
Control Applications
16%
Input-output
16%
Tracking Performance
16%
Electro-hydraulic Servo System
16%
Classical Controller
16%
Plant Characteristics
16%
Performance Noise
16%
Controller Learning
16%
Noise Rejection
16%
Smooth Control
16%
Steady State Control
16%
Steady-state Information
16%
Characteristic-based
16%
Engineering
Learning Scheme
100%
Powerful Tool
25%
Noise Performance
25%
Closed Loop
25%
Nonlinear Plant
25%
Simulation Result
25%
Servo System
25%
Control Dynamics
25%
State Information
25%
Output Pair
25%
Memory Space
25%
Learning Algorithm
25%
Computer Science
Cerebellar Model
100%
Learning Scheme
100%
Can Controller
16%
Input/Output
16%
Dynamic Information
16%
Control Application
16%
non linear control
16%
Learning Algorithm
16%
State Information
16%
Noise Performance
16%
Nonlinear Plant
16%