DocumentCode :
728127
Title :
Control-on-request: Short-burst assistive control for long time horizon improvement
Author :
Ansari, Alex ; Murphey, Todd
Author_Institution :
Dept. of Mech. Eng., Northwestern Univ., Evanston, IL, USA
fYear :
2015
fDate :
1-3 July 2015
Firstpage :
1173
Lastpage :
1180
Abstract :
This paper introduces a new control-on-request (COR) method that improves the capability of existing shared control interfaces. These COR enhanced interfaces allow users to request on-demand bursts of assistive computer control authority when manual / shared control tasks become too challenging. To enable the approach, we take advantage of the short duration of the desired control responses to derive an algebraic solution for the optimal switching control for differentiable nonlinear systems. These solutions minimize control authority while generating immediate and optimal degrees of improvement in system trajectories. The technique avoids the iterative constrained optimization required to derive traditional finite horizon optimal switching control solutions for nonlinear system and allows optimal control responses on time-frames otherwise infeasible. An interactive example illustrates how users can use COR interfaces to request real-time bursts of control assistance to help stabilize an unstable system.
Keywords :
constraint theory; iterative methods; minimisation; nonlinear control systems; optimal control; switching systems (control); COR enhanced interfaces; algebraic solution; assistive computer control authority; control authority minimization; control-on-request; differentiable nonlinear systems; finite horizon optimal switching control solutions; long-time horizon improvement; nonlinear system; on-demand bursts; optimal control responses; optimal switching control; real-time control bursts; shared control interface capability improvement; short-burst assistive control; system trajectories; time-frames; unstable system stabilization; Computers; Optimal control; Optimization; Schedules; Switches; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2015
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4799-8685-9
Type :
conf
DOI :
10.1109/ACC.2015.7170892
Filename :
7170892
Link To Document :
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