KOBAYASHI et al., 2014 - Google Patents
Displacement control of water hydraulic McKibben muscles with load compensationKOBAYASHI et al., 2014
View PDF- Document ID
- 17893834453438499294
- Author
- KOBAYASHI W
- ITO K
- YAMAMOTO S
- Publication year
- Publication venue
- JFPS International Journal of Fluid Power System
External Links
Snippet
First, model predictive control is introduced and its control performance is validated. However, the performance is degraded under loaded condition because the characteristics of the muscle are changed and the one-step-ahead estimation, which is used to generate …
- 210000003205 Muscles 0 title abstract description 59
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
- G05B13/042—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 in which a parameter or coefficient is automatically adjusted to optimise the performance
-
- 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
- G05B13/027—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 using neural networks only
-
- 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
- G05B13/0205—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Xu | Adaptive integral terminal third-order finite-time sliding-mode strategy for robust nanopositioning control | |
KOBAYASHI et al. | Displacement control of water hydraulic McKibben muscles with load compensation | |
Chillari et al. | An experimental comparison between several pneumatic position control methods | |
Milovanović et al. | Adaptive PID control based on orthogonal endocrine neural networks | |
Pipan et al. | Closed-loop volume flow control algorithm for fast switching pneumatic valves with PWM signal | |
Ghani et al. | Improved third order PID sliding mode controller for electrohydraulic actuator tracking control | |
Han et al. | Robust friction state observer and recurrent fuzzy neural network design for dynamic friction compensation with backstepping control | |
Liang et al. | System identification and model predictive control using CVXGEN for electro-hydraulic actuator | |
Onder et al. | RISE-based backstepping control design for an electro-hydraulic arm system with parametric uncertainties | |
Ghazali et al. | Self-tuning control of an electro-hydraulic actuator system | |
Sun et al. | Varying-order iterative learning control against perturbed initial conditions | |
Jie et al. | Terminal sliding mode control with sliding perturbation observer for a hydraulic robot manipulator | |
Doležel et al. | Piecewise-linear artificial neural networks for PID controller tuning | |
Lee et al. | Practical implementation of a factorized all pass filtering technique for non-minimum phase models | |
Kobayashi et al. | Displacement control of water hydraulic McKibben muscle with load compensation-application of model predictive control | |
Xie et al. | Observer based control of piezoelectric actuators with classical Duhem modeled hysteresis | |
Muftah et al. | Fractional-Order PI λ D μ Controller for Position Control of Intelligent Pneumatic Actuator (IPA) System | |
Tsuruhara et al. | Model predictive displacement control tuning for tap-water-driven artificial muscle by inverse optimization with adaptive model matching and its contribution analyses | |
Kawahara et al. | LS-SVM Based Modeling and Model Predictive Control for a Water-Hydraulic Artificial Muscle Actuator | |
Nguyen et al. | Micro-position control of a piezostack actuator using rate-dependent hysteretic compensator | |
Mat Dzahir et al. | Inverse modeling of nonlinear artificial muscle using polynomial parameterization and particle swarm optimization | |
Riccardi et al. | Adaptive approximation-based control of hysteretic unconventional actuators | |
Sulaiman et al. | Disturbance rejection using Model Predictive control for pneumatic actuator system | |
Jahagirdar et al. | Effect of tuning parameters on performance of first-order plus dead-time processes using generalized predictive control | |
Zhang et al. | Robust indirect adaptive sliding model control for Wiener nonlinear systems |