2016
DOI: 10.1007/s10514-015-9543-z
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Orbital stabilization of an underactuated bipedal gait via nonlinear $${{\mathcal H}}_{\infty }$$ H ∞ -control using measurement feedback

Abstract: HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des labora… Show more

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Cited by 12 publications
(10 citation statements)
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“…Consider that robots have to face dynamic parameter uncertainties and external disturbances in the execution of a task, various of adaptive tracking controllers have been proposed, such as passivity‐based adaptive controllers, 11‐13 neural‐network‐based adaptive controllers, 14‐17 adaptive sliding mode controllers 18‐21 . Recently, nonlinear control synthesis developed for hybrid systems in References 22 and 23 has been successfully applied to the orbital stabilization of an underactuated bipedal robot 24 by introducing virtual constraint approach and transverse coordinates. The proposed output feedback tracking control strategy can guarantee the good performance of the closed‐loop system in the simultaneous presence of measurement noise, external disturbances, and uncertainties in the collision phase.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Consider that robots have to face dynamic parameter uncertainties and external disturbances in the execution of a task, various of adaptive tracking controllers have been proposed, such as passivity‐based adaptive controllers, 11‐13 neural‐network‐based adaptive controllers, 14‐17 adaptive sliding mode controllers 18‐21 . Recently, nonlinear control synthesis developed for hybrid systems in References 22 and 23 has been successfully applied to the orbital stabilization of an underactuated bipedal robot 24 by introducing virtual constraint approach and transverse coordinates. The proposed output feedback tracking control strategy can guarantee the good performance of the closed‐loop system in the simultaneous presence of measurement noise, external disturbances, and uncertainties in the collision phase.…”
Section: Introductionmentioning
confidence: 99%
“…By means of inverse kinematics and algebraic method, 34 the planned trajectory in the task space can generate a smooth joint trajectory in the joint space. Finally, a state‐dependent switching control strategy is presented for tracking the generated joint trajectory so as to control the Stanford manipulator to perform a task. Compared with the nonlinear control synthesis developed for hybrid mechanical systems in References 22 and 24, the proposed control strategy circumvents the difficulty of solving Riccati equation or Hamilton–Jacobi–Isaacs inequality.…”
Section: Introductionmentioning
confidence: 99%
“…There have been a number of studies on stable walking of bipedal robots in structured environments (such as labs and indoors), which have shown successful demonstrations through simulations and experiments [1]- [3]. Consequently, stable and robust walking of bipedal robots on unstructured terrains has recently attracted much attention of robotics community, and various control methods for biped walking have been developed in [4]- [9].…”
Section: Introductionmentioning
confidence: 99%
“…Conditions to achieve aperiodic gait patterns in the presence of persistent disturbances have been proposed in [18]. A recent development reported in [19] makes use of a robust nonlinear H ∞ -controller that ensures internal asymptotic stability. Despite the effectiveness and conservative nature of this controller, their approach does not allow to bound the control signals and the resulting peak torques may be unattainable in a physical implementation.…”
Section: Introductionmentioning
confidence: 99%