2011 9th IEEE International Conference on Control and Automation (ICCA) 2011
DOI: 10.1109/icca.2011.6137947
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Control of a nonlinear teleoperation system by state convergence

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Cited by 9 publications
(5 citation statements)
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“…In spite of these limitations, elegancy of the SC method in terms of simplicity, modeling ease and achieving desired dynamic behavior of a linear teleoperation system, has attracted us to investigate its usage for control of nonlinear teleoperation system represented by TS fuzzy models which are obtained through the time varying weighted combination of linear subsystems. It is worthy to mention here that SC method (originally proposed for linear systems) has also been shown to control the nonlinear teleoperation system through the use of Lyapunov theory [50], adaptive control theory [51] and feedback linearization techniques [52]. Further, SC architecture has also been used in other studies to design tele-controllers [53], [54].…”
mentioning
confidence: 99%
“…In spite of these limitations, elegancy of the SC method in terms of simplicity, modeling ease and achieving desired dynamic behavior of a linear teleoperation system, has attracted us to investigate its usage for control of nonlinear teleoperation system represented by TS fuzzy models which are obtained through the time varying weighted combination of linear subsystems. It is worthy to mention here that SC method (originally proposed for linear systems) has also been shown to control the nonlinear teleoperation system through the use of Lyapunov theory [50], adaptive control theory [51] and feedback linearization techniques [52]. Further, SC architecture has also been used in other studies to design tele-controllers [53], [54].…”
mentioning
confidence: 99%
“…Such a class of algorithms is collectively referred to as passivity paradigm for the bilateral control of teleoperation systems and by far, is the most popular choice for designing bilateral systems due to their strong robustness to time delays [7]. The other types of bilateral algorithms include sliding mode control [8], H∞ control [9], Lyapunov-Krasovskii functional based control [10], disturbance observer based control [11], adaptive control [12], intelligent control [13]- [15] and the state convergence based control [16], [17].…”
Section: Introductionmentioning
confidence: 99%
“…For a local manipulator, we will use a PHANTOM Omni ® haptic device. For a remote manipulator we employed a planar serial arm with three degrees of freedom, actuated by DC motors, [19], [27]:…”
Section: Simulationmentioning
confidence: 99%
“…In this paper we improved the control scheme [19], analyzing the case of time-varying communication delay.…”
mentioning
confidence: 99%
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