Synchronization control for bilateral teleoperation system with prescribed performance under asymmetric time delay
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Publication:327873
DOI10.1007/S11071-015-2006-4zbMath1347.34087OpenAlexW2058098941MaRDI QIDQ327873
Yana Yang, Chang-Chun Hua, Xin-Ping Guan
Publication date: 19 October 2016
Published in: Nonlinear Dynamics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11071-015-2006-4
Fuzzy control/observation systems (93C42) Adaptive control/observation systems (93C40) Characteristic and Lyapunov exponents of ordinary differential equations (34D08) Synchronization of solutions to ordinary differential equations (34D06)
Related Items (9)
Adaptive neural network control for flexible telerobotic systems with communication constraints ⋮ Time domain passivity control of time-delayed bilateral telerobotics with prescribed performance ⋮ A prescribed‐performance‐like control for improving tracking performance of networked robots ⋮ Adaptive control of delayed teleoperation systems with parameter convergence ⋮ Composite adaptive control for bilateral teleoperation systems without persistency of excitation ⋮ Adaptive coordinated control of uncertain free-floating space manipulators with prescribed control performance ⋮ Observer-based force reflecting robust coordination control for networked bilateral shared telerobotic system ⋮ Adaptive control of teleoperation systems with prescribed tracking performance: a BLF-based approach ⋮ Prescribed performance output feedback synchronisation control of bilateral teleoperation system with actuator nonlinearities
Cites Work
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- Bilateral teleoperation: An historical survey
- Adaptive control with guaranteed transient and steady state tracking error bounds for strict feedback systems
- Nonlinear control for teleoperation systems with time varying delay
- Adaptive fuzzy control for uncertain interconnected time-delay systems
- Tracking control: performance funnels and prescribed transient behaviour
- Sampled-Data Synchronization Control of Dynamical Networks With Stochastic Sampling
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