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Ron J. Patton

Researcher at University of Hull

Publications -  359
Citations -  20222

Ron J. Patton is an academic researcher from University of Hull. The author has contributed to research in topics: Fault detection and isolation & Robustness (computer science). The author has an hindex of 57, co-authored 351 publications receiving 19210 citations. Previous affiliations of Ron J. Patton include Universities UK & York University.

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Hierarchical-Structure-Based Fault Estimation and Fault-Tolerant Control for Multiagent Systems

TL;DR: This paper proposes a hierarchical-structure-based fault estimation and fault-tolerant control design with bidirectional interactions for nonlinear multiagent systems with actuator faults and two simulation cases validate the efficiency of the proposed hierarchical structure control algorithm.
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Nonlinear Modeling and Verification of a Heaving Point Absorber for Wave Energy Conversion

TL;DR: In this paper, a 1/50 scale cylindrical heaving point absorber (PA) is used to model nonlinear fluid viscous and mechanical friction dynamics for wave energy conversion.
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An FTC Approach to Wind Turbine Power Maximisation Via T-S Fuzzy Modelling and Control

TL;DR: In this article, a fault-tolerant control strategy for a wind turbine operating at low wind speed is presented, which uses the proportional multiple integral observer (PMIO) as intermediate block between the system and the controller to provide an estimation of the generator and/or rotor speed sensor(s) faults.
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Development and Application of Methods for Actuator Diagnosis in Industrial Control Systems (DAMADICS): A Benchmark Study

TL;DR: In this article, a new actuator benchmark for fault diagnosis studies developed in the framework of the EC-funded Research Training Network DAMADICS is described and presented, along with three special sessions of papers providing an evaluation of methods and results focussed on the benchmark problem.
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Technical Communique: Design of Fault Detection and Isolation Observers: A Matrix Pencil Approach

TL;DR: This paper provides a new approach to the fault detection and isolation observer design based on an explicit decomposition of an extended matrix pencil containing all system matrices that is numerically reliable and has straightforward computer implementation.