NDLI: Self-triggered Model Predictive Control for nonholonomic systems

Content Provider	IEEE Xplore Digital Library
Author	Eqtami, A. Heshmati-alamdari, S. Dimarogonas, D.V. Kyriakopoulos, K.J.
Copyright Year	2013
Description	Author affiliation: KTH ACCESS Linnaeus Center, R. Inst. of Technol. (KTH), Stockholm, Sweden (Dimarogonas, D.V.) \|\| Dept. of Mech. Eng., Nat. Tech. Univ. of Athens, Zografou, Greece (Eqtami, A.; Heshmati-alamdari, S.; Kyriakopoulos, K.J.)
Abstract	This paper proposes a Model Predictive Control (MPC) framework combined with a self-triggering mechanism for constrained uncertain systems. Under the proposed scheme, the control input as well as the next control update time are provided at each triggering instant. Between two consecutive triggering instants, the control trajectory given by the MPC is applied to the plant in an open-loop fashion. This results to less frequent computations while preserving stability and convergence of the closed-loop system. A scenario for the stabilization of a nonholonomic robot subject to constraints and disturbances is considered, with the aim of reaching a specific triggering mechanism. The robot under the proposed control framework is driven to a compact set where it is ultimately bounded. The efficiency of the proposed approach is illustrated through a simulated example.
Starting Page	638
Ending Page	643
File Size	295737
Page Count	6
File Format	PDF
ISBN	9783033039629
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-17
Publisher Place	Switzerland
Access Restriction	Subscribed
Rights Holder	EUCA
Subject Keyword	Robot kinematics Stability analysis Trajectory Closed loop systems Convergence
Content Type	Text
Resource Type	Article

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