Solving multiple-objective problems in the objective space

Ferreira, Paulo Augusto Valente; Machado, M. E.

doi:10.1007/bf02275354

Cited by 17 publications

(9 citation statements)

References 22 publications

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“…Let P (A f , B f ) be the set of Paretooptimal solutions of problem (5). This is the set of all matrices K * such that (6) and (7) hold true :…”

Section: B Recoverabilitymentioning

confidence: 99%

Robust Fault Tolerant Linear Quadratic Control based on Admissible Model Matching

Staroswiecki

2006

Proceedings of the 45th IEEE Conference on Decision and Control

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In Admissible Model Matching (AMM), fault tolerance aims at matching any model of an a priori specified set of admissible models, rather than at searching for an optimal approximation of a single reference one, as in the pseudo-inverse and modified pseudo-inverse methods. This approach allows to clearly characterize the set of recoverable faults, and moreover it exhibits a specific robustness property. This paper presents the AMM approach and applies it to the Linear Quadratic control design, by defining admissibility through an acceptable level of performance degradation.

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“…Let P (A f , B f ) be the set of Paretooptimal solutions of problem (5). This is the set of all matrices K * such that (6) and (7) hold true :…”

Section: B Recoverabilitymentioning

confidence: 99%

Robust Fault Tolerant Linear Quadratic Control based on Admissible Model Matching

Staroswiecki

2006

Proceedings of the 45th IEEE Conference on Decision and Control

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“…As displayed in Fig.4, the utility functions regarding two objectives can be defined by considering the physical significance of the relevant quantities [10]. Through the multi-linear utility elicitation [12,13], the utility function in this study can be defined as…”

Section: Optimal Architecturementioning

confidence: 99%

Design and Analysis of an Innovative Modular Extendable Manipulator

Langari

2014

Volume 5B: 38th Mechanisms and Robotics Conference

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This study present a design and analysis scheme for the extend-able modular robotic manipulator with multi Degree of Freedom links that is capable of elongating by 15 % of its nominal length. The intent is to facilitate the movement of the proposed robotic manipulator in constraint environments, such as rubble piles. In this context, the total number of links decided by optimization methodology can be a useful distinction in practice. In order to identify the benefits of the proposed design strategy, the reachable workspace of the proposed manipulator is compared with that of the Jet Propulsion Laboratory (JPL) serpentine robot. The simulation results show that the proposed manipulator has a relatively efficient reachable workspace to deal with a variety of constrained directions, needed in constrained environments. Also, the singularity of the designed manipulator is investigated.

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