A New Approach to Manipulator Control: The Cerebellar Model Articulation Controller (CMAC)

Cited by (999)

Items 401–500 of 999

1. Robust CMAC neural network control for LLCC resonant driving linear piezoelectric ceramic motor
   Rong‐Jong Wai, Chih‐Min Lin, Y.-F. Peng · 2003 · IEE Proceedings - Control Theory and Applications
2. Multi-Layer Perceptrons with B-Spline Receptive Field Functions
   Stephen H. Lane, Marshall Flax, David A. Handelman · 1990 · neural information processing systems
3. Improved Allocation of Weights for Associative Memory Storage in Learning Control Systems
   P.C. Parks, Jürgen Militzer · 1991 · IFAC Proceedings Volumes
4. Fault Detection for a Class of Unknown Non-Linear Systems via Associative Memory Networks
   Hong Wang, Martin Brown, Chris J. Harris · 1994 · Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering
5. CMAC adaptive control of flexible-joint robots using backstepping with tuning functions
   Chris J. B. Macnab, Gabriele M. T. D’Eleuterio, M. Meng · 2004 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
6. Intelligent controller using CMACs with self-organized structure and its application for a process system
   Toru Yamamoto, H. Yanagino, M. Kaneda · 2002 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
7. Control of systems with deadzones using neural-network based learning controller
   Seon‐Woo Lee, Jong-Hwan Kim · 2002
8. On the theory of intelligent machines: a survey
   G.N. Saridis · 2003 · Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes
9. Improved MCMAC with momentum, neighborhood, and averaged trapezoidal output
   Kai Keng Ang, Chai Hiok Quek · 2000 · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
10. Function-Link Fuzzy Cerebellar Model Articulation Controller Design for Nonlinear Chaotic Systems Using TOPSIS Multiple Attribute Decision-Making Method
    Chih‐Min Lin, Tuân-Tú Huỳnh · 2018 · International Journal of Fuzzy Systems
11. Benchmarking cerebellar control
    Patrick van der Smagt · 2000 · Robotics and Autonomous Systems
12. Self-organizing adaptive wavelet CMAC backstepping control system design for nonlinear chaotic systems
    Chih‐Min Lin, Hsin-Yi Li · 2012 · Nonlinear Analysis Real World Applications
13. A hybrid QoS multicast framework-based protocol for wireless mesh networks
    Ehsan Pourfakhar, Amir Masoud Rahmani · 2010 · Computer Communications
14. Real Time Supervision for Diesel Engine Injection
    Christof Ludwig, Steffen K. Leonhardt, Mihiar Ayoubi · 1994 · IFAC Proceedings Volumes
15. A Cerebellar Internal Models Control Architecture for Online Sensorimotor Adaptation of a Humanoid Robot Acting in a Dynamic Environment
    Marie Claire Capolei, Nils Axel, Henrik Hautop Lund, Egidio Falotico, Silvia Tolu · 2019 · IEEE Robotics and Automation Letters
16. Enhanced Human–Machine Interface in Braking
    S. Park, T.B. Sheridan · 2004 · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans
17. Integral Variable Structure Control of Nonlinear System Using a CMAC Neural Network Learning Approach
    C.-P. Hung · 2004 · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
18. Artificial Neural Networks in Control Applications
    V. Vemuri · 1993 · Advances in computers
19. A self-organized model for the control, planning and learning of nonlinear multi-dimensional systems using a sensory feedback
    Sylvie Gibet, Pierre-Fran�ois Marteau · 1994 · Applied Intelligence
20. Design of a novel adaptive TSK-fuzzy speed controller for use in direct torque control induction motor drives
    Shun-Yuan Wang, Chwan-Lu Tseng, Chun-Jung Chiu · 2015 · Applied Soft Computing
21. PID Controller Based on Memristive CMAC Network
    Lidan Wang, Xiaoyan Fang, Shukai Duan, Xiaofeng Liao · 2013 · Abstract and Applied Analysis
22. Heuristically Accelerated Reinforcement Learning: Theoretical and Experimental Results
    Reinaldo A. C. Bianchi, Carlos H. C. Ribeiro, Anna Helena Reali Costa · 2012 · Frontiers in artificial intelligence and applications
23. Algorithms for clustering high dimensional and distributed data
    Tao Li, Shenghuo Zhu B, Mitsunori Ogihara · 2003 · Intelligent Data Analysis
24. PSECMAC: A Novel Self-Organizing Multiresolution Associative Memory Architecture
    Sintiani Dewi Teddy, Chai Hiok Quek, E.M.-K. Lai · 2008 · IEEE Transactions on Neural Networks
25. Recursive Lagrangian Dynamics of Flexible Manipulator Arms via Transformation Matrices
    Wayne J. Book · 1983 · IFAC Proceedings Volumes
26. Schemas and neural networks for sixth generation computing invited survey
    Michael A. Arbib · 1989 · Journal of Parallel and Distributed Computing
27. Cerebellar theory out of control
    Michael G. Paulin · 1996 · Behavioral and Brain Sciences
28. Q: Is the cerebellum an adaptive combiner of motor and mental/motor activities? A: Yes, maybe, certainly not, who can say?
    W. T. Thach · 1996 · Behavioral and Brain Sciences
29. Preventing bursting in adaptive control using an introspective neural network algorithm
    K. Masaud, Chris J. B. Macnab · 2014 · Neurocomputing
30. Car-Following Control Using Recurrent Cerebellar Model Articulation Controller
    Chih‐Min Lin, Chiu-Hsiung Chen · 2007 · IEEE Transactions on Vehicular Technology
31. Intelligent Approaches in Locomotion - A Review
    Joe Wright, Ivan Jordanov · 2014 · Journal of Intelligent & Robotic Systems
32. Incremental State Space Segmentation for Behavior Learning by Real Robot.
    Yasutake Takahashi, Minoru Asada · 1999 · Journal of the Robotics Society of Japan
33. Anti-swing control for a double-pendulum-type overhead crane via parallel distributed fuzzy LQR controller combined with genetic fuzzy rule set selection
    Mahdieh Adeli, Hassan Zarabadipour, Seyedeh Hamideh Zarabadi · 2011 · IEEE International Conference on Control System, Computing and Engineering
34. Understanding driver behavior using multi-dimensional CMAC
    Abdul Wahab, Toh Guang Wen, Norhaslinda Kamaruddin · 2007 · International Conference on Information, Communications & Signal Processing (ICICS)
35. A self-organizing neural network model for redundant sensory-motor control, motor equivalence, and tool use
    Daniel Bullock, Stephen Grossberg, Frank H. Guenther · 2003 · 2022 International Joint Conference on Neural Networks (IJCNN)
36. Control of wind turbines using memory-based method
    Y. D. Song · 2000 · Journal of Wind Engineering and Industrial Aerodynamics
37. Fractop: A Tool for Automated Biological Image Classification
    David J. Cornforth, Herbert Franz Jelinek, Leo Peichl · 2002 · Charles Sturt University Research Output (CRO)
38. Controlling a truck with an adaptive critic CMAC design
    Robert O. Shelton, James K. Peterson · 1992 · SIMULATION
39. Recent Technological Advances in the Control and Guidance of Ships
    Neil Witt, R. Sutton, K. M. Miller · 1994 · Journal of Navigation
40. Adaptive Backstepping Sliding Mode Dynamic Positioning System for Pod Driven Unmanned Surface Vessel Based on Cerebellar Model Articulation Controller
    Zaiji Piao, Chen Guang Guo, Shuang Sun · 2020 · IEEE Access
41. An Intelligent Nano-positioning Control System Driven by an Ultrasonic Motor
    Kuang–Chao Fan, Zi-Fa Lai · 2008 · International Journal of Precision Engineering and Manufacturing
42. Adaptive learning algorithm for Cerebellar model articulation controller
    Magdy Mohamed Abdelhameed, Unnat Pinspon, Sabri Cetinkunt · 2002 · Mechatronics
43. Real-time vibration control using CMAC neural networks with weight smoothing
    L.G. Kraft, J. Pallotta · 2000 · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference
44. Adaptive Noise Cancellation Using Deep Cerebellar Model Articulation Controller
    Yu Tsa, Hao-Chun Chu, Shih‐Hau Fang, Junghsi Lee, Chih‐Min Lin · 2018 · IEEE Access
45. Hybrid CMAC-PID Controller in Heating Ventilating and Air-Conditioning System
    Jiangjiang Wang, Chunfa Zhang, Youyin Jing · 2007 · International Conference on Mechatronics and Automation
46. A fuzzy neural network based on fuzzy hierarchy error approach
    P.K.S. Tam, A. Wu · 2000 · IEEE Transactions on Fuzzy Systems
47. Neural computation of the equivalent control in sliding mode for robot trajectory control applications
    Meliksah Ertugrul, Okyay Kaynak · 2002 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
48. A design of CMAC-based fuzzy logic controller with fast learning and accurate approximation
    Daijin Kim · 2002 · Fuzzy Sets and Systems
49. A fuzzy neural network and its application to controls
    Sun Zengqi, Deng Zhidong · 1996 · Artificial Intelligence in Engineering
50. The application of neural networks to fuel processors for fuel-cell vehicles
    L.C. Iwan, Robert F. Stengel · 2001 · IEEE Transactions on Vehicular Technology
51. Neural network learning of the inverse kinematic relationships for a robot arm
    S. Kieffer, Vassilios Morellas, Max Donath · 2002 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
52. Control of unknown nonlinear dynamical systems using CMAC neural networks: structure, stability, and passivity
    Sesh Commuri, Frank L. Lewis · 2002
53. Learning control with interpolating memories—general ideas, design lay-out, theoretical approaches and practical applications
    Henning Tolle, P.C. Parks, Enis Ersü · 1992 · International Journal of Control
54. The common inverse-dynamics motor-command coordinates for complex and simple spikes
    M. Kawato · 1996 · Behavioral and Brain Sciences
55. Surface roughness fuzzy inference system within the control simulation of end milling
    Uroš Župerl, F. Čuš · 2015 · Precision Engineering
56. A novel brain-inspired neural cognitive approach to SARS thermal image analysis
    Chai Hiok Quek, W. Irawan, E. Y. K. Ng · 2009 · Expert Systems with Applications
57. Robust tracking of elastic joint manipulators using sliding mode control
    G.A. Wilson, G.W. Irwin · 1994 · Transactions of the Institute of Measurement and Control
58. From “ear” to there: a review of biorobotic models of auditory processing in lizards
    Danish Shaikh, John C. T. Hallam, Jakob Christensen‐Dalsgaard · 2016 · Biological Cybernetics
59. Breast Tumor Computer-aided Diagnosis using Self-Validating Cerebellar Model Neural Networks
    2016 · Acta Polytechnica Hungarica
60. DC–DC converters design using a type-2 wavelet fuzzy cerebellar model articulation controller
    Chih‐Min Lin, Van-Hoa La, Tien-Loc Le · 2018 · Neural Computing and Applications
61. Expansion coding and computation in the cerebellum: 50 years after the Marr–Albus codon theory
    Terence D. Sanger, Okito Yamashita, Mitsuo Kawato · 2019 · The Journal of Physiology
62. Tutorial Review of Bio-Inspired Approaches to Robotic Manipulation for Space Debris Salvage
    Alex A. Ellery · 2020 · Biomimetics
63. Using Inverse Reinforcement Learning with Real Trajectories to Get More Trustworthy Pedestrian Simulations
    Francisco Martínez-Gil, Miguel Lozano, Ignacio García‐Fernández, Pau Romero, Dolors Serra, Rafael Sebastián · 2020 · Mathematics
64. N-tuple Regression Network
    Aleksander Kołcz, Nigel M Allinson · 1996 · Neural Networks
65. DESIGN IMPROVEMENTS IN ASSOCIATIVE MEMORIES FOR CEREBELLAR MODEL ARTICULATION CONTROLLERS (CMAC)
    P.C. Edgar An, Wallace T. Miller, P.C. Parks · 1991 · Elsevier eBooks
66. Artificial Intelligence and Feedback Control
    H.B. Verbruggen, Karl Johan Åström · 1989 · IFAC Proceedings Volumes
67. Real-time applications
    John F. Barkley · 1977 · ACM SIGMINI Newsletter
68. Deconvolution and nonlinear inverse filtering using a neural network
    Filson H. Glanz, Wallace T. Miller · 2003 · International Conference on Acoustics, Speech, and Signal Processing
69. Neural Networks for Identification of Nonlinear Systems: An Overview
    Pramod Gupta, Naresh K. Sinha · 2000 · Elsevier eBooks
70. From pixels to policies: A bootstrapping agent
    Jeremy Stober, Benjamin J. Kuipers · 2008 · IEEE International Conference on Development and Learning (ICDL)
71. The application of an interactively recurrent self-evolving fuzzy CMAC classifier on face detection in color images
    Jyun-Guo Wang, Shen‐Chuan Tai, Cheng‐Jian Lin · 2016 · Neural Computing and Applications
72. How Gaussian radial basis functions work
    Y. Wong · 2002 · 2022 International Joint Conference on Neural Networks (IJCNN)
73. Real-time adaptive on-line traffic incident detection
    H Xu, Chiman Kwan, L. Haynes · 1998 · Fuzzy Sets and Systems
74. Operational Fault Tolerance of CMAC Networks
    Michael J. Carter, Franklin J Rudolph, Adam J. Nucci · 1989 · neural information processing systems
75. Autonomous biped gait pattern based on Fuzzy-CMAC neural networks
    Christophe Sabourin, Kurosh Madani, Olivier Bruneau · 2007 · Integrated Computer-Aided Engineering
76. A theory for memory-based learning
    Jyh-Han Lin, Jeffrey Scott Vitter · 1992
77. The adaptive control of a four-degrees-of-freedom stereo camera head
    John E. W. Mayhew, Ying Zheng, Stuart Cornell · 1992 · Philosophical Transactions of the Royal Society B Biological Sciences
78. Sensorless position detection using neural networks for the control of switched reluctance motors
    Donald S. Reay, Barry Wayne Williams · 2003 · ˜The œproceedings of the IEEE Conference on Control Applications/˜The œproceedings of the ... IEEE Conference on Control Applications
79. Artificial Intelligence: Computational Approach to Vision and Motor Control
    Ellen C. Hildreth, John M. Hollerbach · 1987 · Comprehensive physiology
80. Integration of CMAC technique and weighted regression for efficient learning and output differentiability
    Chun-Shin Lin, Ching‐Tsan Chiang · 1998 · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
81. Cerebellum-inspired neural network solution of the inverse kinematics problem
    Mitra Asadi‐Eydivand, Mohammad Mehdi Ebadzadeh, Mehran Solati‐Hashjin, C. Darlot, Noor Azuan Abu Osman · 2015 · Biological Cybernetics
82. Neural Control using EEG as a BCI Technique for Low Cost Prosthetic Arms
    Shyam Diwakar, Sandeep Bodda, Chaitanya Sai Nutakki, Asha Vijayan, Krishnashree Achuthan, Bipin Gopalakrishnan Nair · 2014 · International Conference on Neural Computation Theory and Applications
83. Anticipatory grip force control using a cerebellar model
    Jornt R. De Gruijl, Patrick van der Smagt, Chris I. De Zeeuw · 2009 · Neuroscience
84. Continuous residual reinforcement learning for traffic signal control optimization
    Mohammad Aslani, Stefan Seipel, Marco Wiering · 2018 · Canadian Journal of Civil Engineering
85. Inferior Olive: All Ins and Outs
    Jornt R. De Gruijl, Laurens W. J. Bosman, Chris I. De Zeeuw, Marcel T. G. de Jeu · 2012 · Springer eBooks
86. Robust intelligent backstepping tracking control for uncertain non-linear chaotic systems using H∞ control technique
    Ya-Fu Peng · 2008 · Chaos Solitons & Fractals
87. An emotion-based approach to decision making and self leaming in autonomous robot control
    Changsheng Yu, Xu Li · 2004 · World Congress on Intelligent Control and Automation
88. Nonlinear model-based control with local linear neuro-fuzzy models
    Alexander Fink, Susanne Töpfer, Rolf Isermann · 2003 · Archive of Applied Mechanics
89. A Design of CMAC Based Intelligent PID Controllers
    Toru Yamamoto, Ryota Kurozumi, Shoichiro Fujisawa · 2003 · Lecture notes in computer science
90. Neural networks in robotics: state of the art
    Spyros G. Tzafestaş · 2002 · IEEE International Symposium on Industrial Electronics (ISIE)
91. Q-learning algorithm using an adaptive-sized Q-table
    Yoichi Hirashima, Yoji Iiguni, Akira Inoue · 2003 · Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes
92. Intelligent control-operating systems in uncertain environments
    G.N. Saridis · 2005 · Springer eBooks
93. A fuzzified CMAC self-learning controller
    Junhong Nie, D.A. Linkens · 2002 · Proceedings of ... IEEE International Conference on Fuzzy Systems
94. Modelling and control of nonlinear, operating point dependent systems via associative memory networks
    H. Wang, Martin Brown, Chris J. Harris · 1996 · Dynamics and Control
95. A Fourier Series Neural Network and Its Application to System Identification
    C. Zhu, Frank W. Paul · 1995 · Journal of Dynamic Systems Measurement and Control
96. Convergence Properties of Associative Memory Storage for Learning Control Systems
    P.C. Parks, J. Militzer · 1990 · IFAC Proceedings Volumes
97. Control of a Rehabilitation Robotic Device Driven by Antagonistic Soft Actuators
    Haozhen Chi, Hairong Su, Wenyu Liang, Qinyuan Ren · 2021 · Actuators
98. Distinctive properties of biological neural networks and recent advances in bottom-up approaches toward a better biologically plausible neural network
    Ikhwan Jeon, Taegon Kim · 2023 · Frontiers in Computational Neuroscience
99. Characterising Reservoir Performance for the Mahogany 20 Gas Sand Based on Petrophysical and Rock Typing Methods
    J.. Ali-Nandalal, G. W. Gunter · 2003 · SPE Latin American and Caribbean Petroleum Engineering Conference
100. Robust Adaptive Self-Organizing Wavelet Fuzzy CMAC Tracking Control for De-icing Robot Manipulator
     Thanh Quyen Ngo, TaVan Phuong · 2015 · International Journal of Computers Communications & Control