Fan et al., 2018 - Google Patents
Fuzzy adaptive switching control for an uncertain robot manipulators with time‐varying output constraintFan et al., 2018
View PDF- Document ID
- 6666849597078167353
- Author
- Fan Y
- Wang W
- Liu Y
- Wang M
- Publication year
- Publication venue
- Complexity
External Links
Snippet
An adaptive control strategy based on a fuzzy logic system by introducing a nonzero time‐ varying parameter is studied for an n‐link manipulator system with the condition of a complex environment. At the beginning, a universal approximator with a one time‐varying …
- 230000003044 adaptive 0 title abstract description 32
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D23/00—Control of temperature
- G05D23/19—Control of temperature characterised by the use of electric means
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B17/00—Systems involving the use of models or simulators of said systems
- G05B17/02—Systems involving the use of models or simulators of said systems electric
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Kong et al. | Asymmetric bounded neural control for an uncertain robot by state feedback and output feedback | |
Ioannou et al. | Adaptive control tutorial | |
Wei et al. | Composite hierarchical anti‐disturbance control for nonlinear systems with DOBC and fuzzy control | |
He et al. | Adaptive neural network control of a robotic manipulator with unknown backlash‐like hysteresis | |
Nguyen et al. | Adaptive chattering free neural network based sliding mode control for trajectory tracking of redundant parallel manipulators | |
Li et al. | Trajectory tracking control of underactuated surface vessel with full state constraints | |
Wang et al. | Switched adaptive tracking control of robot manipulators with friction and changing loads | |
Feng et al. | Adaptive decentralized control for constrained strong interconnected nonlinear systems and its application to inverted pendulum | |
Zheng et al. | Adaptive neural control for a class of nonlinear multiagent systems | |
Wu et al. | Adaptive tracking control of robot manipulators with input saturation and time‐varying output constraints | |
Qiu et al. | Model predictive control for constrained image‐based visual servoing in uncalibrated environments | |
Feng et al. | Full‐order sliding‐mode control of rigid robotic manipulators | |
Dai et al. | Transverse function approach to practical stabilisation of underactuated surface vessels with modelling uncertainties and unknown disturbances | |
Gao et al. | Robust adaptive backstepping INTSM control for robotic manipulators based on ELM | |
Yu et al. | An adaptive neural network switching control approach of robotic manipulators for trajectory tracking | |
Fan et al. | Neural adaptive global stability control for robot manipulators with time‐varying output constraints | |
Mahjoub et al. | Radial-basis-functions neural network sliding mode control for underactuated mechanical systems | |
Wang | Adaptive fuzzy sliding mode and robust tracking control for manipulators with uncertain dynamics | |
Wang et al. | Terminal Sliding‐Mode Control of Uncertain Robotic Manipulator System with Predefined Convergence Time | |
Bali et al. | Multi-dimensional Taylor network-based fault-tolerant control for nonlinear systems with unmodeled dynamics and actuator faults | |
Fan et al. | Fuzzy adaptive switching control for an uncertain robot manipulators with time‐varying output constraint | |
Qiao et al. | Adaptive PID control of robotic manipulators without equality/inequality constraints on control gains | |
De Jesús Rubio et al. | A new discrete-time sliding-mode control with time-varying gain and neural identification | |
Mei et al. | Adaptive neural output feedback control for uncertain robot manipulators with input saturation | |
Yang et al. | Multilayer neural network based asymptotic motion control of saturated uncertain robotic manipulators |