Adaptive control of a submerged vehicle with sliding fuzzy relations

Abstract An adaptive fuzzy logic controller scheme is proposed for application to subsea remotely operated vehicles. The system uses a model reference approach to adjust the rulebase. The closed-loop controller rules are fuzzy relations with certain constraints, allowing smooth control and training. The submerged vehicle behaves in a safe manner during the training period and closely follows the desired behaviour of the reference model.

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