Autonomous water pollution source tracking system using fish robot
CEA'07 Proceedings of the 2007 annual Conference on International Conference on Computer Engineering and Applications
Design and implementation of a service robot system based on ubiquitous sensor networks
ISPRA'07 Proceedings of the 6th WSEAS International Conference on Signal Processing, Robotics and Automation
Design and implementation of a service robot system based on ubiquitous sensor networks
ISPRA'07 Proceedings of the 6th WSEAS International Conference on Signal Processing, Robotics and Automation
Mapping system of water pollution by autonomous fish robots
ROCOM'07 Proceedings of the 7th WSEAS International Conference on Robotics, Control & Manufacturing Technology
Design of an assistant infant monitoring system using fish robots
CIMMACS'06 Proceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics
Soft computing methods applied to the control of a flexible robot manipulator
Applied Soft Computing
Mobile Agents Using Data Mining for Diagnosis Support in Ubiquitous Healthcare
KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Fuzzy Sets and Systems
A neurofuzzy controller for a single link flexible manipulator
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Recognition of sizes and angles of obstacles using distance sensors for fish robots
ACMOS'06 Proceedings of the 8th WSEAS international conference on Automatic control, modeling & simulation
Data acquisition of obstacle shapes for fish robots
CONTROL'06 Proceedings of the 2nd WSEAS international conference on Dynamical systems and control
Fuzzy decision making on direction changes of water pollution monitoring underwater robots
EE'07 Proceedings of the 2nd IASME/WSEAS international conference on Energy and environment
Location-Aware data mining for mobile users based on neuro-fuzzy system
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
Neuro-fuzzy inference system to learn expert decision: between performance and intelligibility
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
A TSK fuzzy inference algorithm for online identification
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
A precise robust fuzzy control of robots using voltage control strategy
International Journal of Automation and Computing
Fine-tuning fuzzy control of robots
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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In this paper, a Takagi-Sugeno-Kang-type fuzzy-neural-network control (T-FNNC) scheme is constructed for an n-link robot manipulator to achieve high-precision position tracking. According to the concepts of mechanical geometry and motion dynamics, the dynamic model of an n-link robot manipulator including actuator dynamics is introduced initially. However, it is difficult to design a suitable model-based control scheme due to the uncertainties in practical applications, such as friction forces, external disturbances and parameter variations. In order to cope with this problem, a T-FNNC system without the requirement of prior system information and auxiliary control design is investigated to the joint position control of an n-link robot manipulator for periodic motion. In this model-free control scheme, a five-layer fuzzy-neural-network is utilized for the major control role, and the adaptive tuning laws of network parameters are established in the sense of projection algorithm and Lyapunov stability theorem to ensure the network convergence as well as stable control performance. In addition, experimental results of a two-link robot manipulator actuated by dc servomotors are provided to verify the effectiveness and robustness of the proposed T-FNNC methodology.