Bououden et al., 2013 - Google Patents
Fuzzy Sliding Mode Controller Design Using Takagi‐Sugeno Modelled Nonlinear SystemsBououden et al., 2013
View PDF- Document ID
- 196676997530828686
- Author
- Bououden S
- Chadli M
- Karimi H
- Publication year
- Publication venue
- Mathematical Problems in Engineering
External Links
Snippet
Adaptive fuzzy sliding mode controller for a class of uncertain nonlinear systems is proposed in this paper. The unknown system dynamics and upper bounds of the minimum approximation errors are adaptively updated with stabilizing adaptive laws. The closed‐loop …
- 230000003044 adaptive 0 abstract description 20
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
- 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
- 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
- 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
- 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
- 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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Pérez‐Ventura et al. | When is it reasonable to implement the discontinuous sliding‐mode controllers instead of the continuous ones? Frequency domain criteria | |
Na | Adaptive prescribed performance control of nonlinear systems with unknown dead zone | |
de Jesús Rubio | Sliding mode control of robotic arms with deadzone | |
Bououden et al. | Fuzzy Sliding Mode Controller Design Using Takagi‐Sugeno Modelled Nonlinear Systems | |
Xu et al. | Minimal‐learning‐parameter technique based adaptive neural sliding mode control of MEMS gyroscope | |
Qiu et al. | H∞ control of networked control systems based on Markov jump unified model | |
Soorki et al. | Adaptive robust control of fractional‐order swarm systems in the presence of model uncertainties and external disturbances | |
Yin et al. | Constrained control of uncertain nonhomogeneous Markovian jump systems | |
Ma et al. | Adaptive backstepping control for strict‐feedback non‐linear systems with input delay and disturbances | |
Su et al. | A combined backstepping and dynamic surface control to adaptive fuzzy state‐feedback control | |
Xia et al. | Adaptive output feedback dynamic surface control of stochastic nonlinear systems with state and input unmodeled dynamics | |
Krokavec et al. | Optimal fuzzy control for a class of nonlinear systems | |
Dong et al. | Adaptive output feedback tracking control for switched non‐strict‐feedback non‐linear systems with unknown control direction and asymmetric saturation actuators | |
He et al. | Design of a model predictive trajectory tracking controller for mobile robot based on the event‐triggering mechanism | |
Jouini et al. | Design of robust supertwisting algorithm based second‐order sliding mode controller for nonlinear systems with both matched and unmatched uncertainty | |
Chen et al. | Sliding Mode Control for a Class of Uncertain MIMO Nonlinear Systems with Application to Near‐Space Vehicles | |
Karimi et al. | Robust Observer Design for Takagi‐Sugeno Fuzzy Systems with Mixed Neutral and Discrete Delays and Unknown Inputs | |
Wang et al. | Direct adaptive neural control of nonlinear strict‐feedback systems with unmodeled dynamics using small‐gain approach | |
Zhao et al. | Active disturbance rejection control for teleoperation systems with actuator saturation | |
Yang et al. | Synchronization analysis for nonlinear bilateral teleoperator with interval time‐varying delay | |
Ji et al. | Adaptive fault‐tolerant optimized formation control for perturbed nonlinear multiagent systems | |
Ma et al. | Adaptive output feedback fault‐tolerant control for MIMO non‐affine non‐linear systems based on disturbance observer | |
Wu et al. | Adaptive finite‐time tracking control for parameterized nonlinear systems with full state constraints | |
Sakthivel et al. | Delay‐dependent fault‐tolerant controller for time‐delay systems with randomly occurring uncertainties | |
Liu et al. | Adaptive fuzzy controller design with observer for a class of uncertain nonlinear MIMO systems |