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Professor Ron Patton

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Ron Patton

Professor of Control and Intelligent Systems Engineering


Numerical and experimental studies of excitation force approximation for wave energy conversion (2018)
Journal Article
Guo, B., Patton, R. J., Jin, S., & Lan, J. (2018). Numerical and experimental studies of excitation force approximation for wave energy conversion. Renewable energy, 125, 877-889. https://doi.org/10.1016/j.renene.2018.03.007

Past or/and future information of the excitation force is useful for real-time power maximisation control of Wave Energy Converter (WEC) systems. Current WEC modelling approaches assume that the wave excitation force is accessible and known. However,... Read More

Nonlinear Modeling and Verification of a Heaving Point Absorber for Wave Energy Conversion (2017)
Journal Article
Gilbert, J., Guo, B., Jin, S., Parsons, D., & Patton, R. (2017). Nonlinear Modeling and Verification of a Heaving Point Absorber for Wave Energy Conversion. IEEE Transactions on Sustainable Energy, 9(1), 453-461. https://doi.org/10.1109/tste.2017.2741341

Although the heaving Point Absorber (PA) concept is well known in wave energy conversion research, few studies focus on appropriate modelling of non-linear fluid viscous and mechanical friction dynamics. Even though these concepts are known to have n... Read More

Integrated fault-tolerant control for a 3-DOF helicopter with actuator faults and saturation (2017)
Journal Article
Lan, J., Patton, R. J., & Zhu, X. (2017). Integrated fault-tolerant control for a 3-DOF helicopter with actuator faults and saturation. IET Control Theory and Applications, 11(14), 2232-2241. https://doi.org/10.1049/iet-cta.2016.1602

© The Institution of Engineering and Technology 2017. This study proposes a fault estimation (FE)-based fault-tolerant control (FTC) strategy to maintain system reliability and achieve desirable control performance for a 3-DOF helicopter system with... Read More

Application of model-based LPV actuator fault estimation for an industrial benchmark (2016)
Journal Article
Chen, L., Patton, R., & Goupil, P. (2016). Application of model-based LPV actuator fault estimation for an industrial benchmark. Control engineering practice, 56, 60-74. https://doi.org/10.1016/j.conengprac.2016.08.003

To bridge the gap between model-based fault diagnosis theory and the industry practice, a linear parameter varying H_/H∞ fault estimation approach is applied to a high fidelity nonlinear aircraft benchmark, to deal with the various actuator fault det... Read More

Integrated design of fault-tolerant control for nonlinear systems based on fault estimation and T-S fuzzy modelling (2016)
Journal Article
Lan, J., & Patton, R. J. (2017). Integrated design of fault-tolerant control for nonlinear systems based on fault estimation and T-S fuzzy modelling. IEEE Transactions on Fuzzy Systems, 25(5), 1141-1154. https://doi.org/10.1109/tfuzz.2016.2598849

This paper proposes an integrated design of faulttolerant control (FTC) for nonlinear systems using Takagi-Sugeno (T-S) fuzzy models in the presence of modelling uncertainty along with actuator/sensor faults and external disturbance. An augmented sta... Read More

Integrated fault estimation and fault-tolerant control for uncertain Lipschitz nonlinear systems (2016)
Journal Article
Lan, J., & Patton, R. J. (2017). Integrated fault estimation and fault-tolerant control for uncertain Lipschitz nonlinear systems. International journal of robust and nonlinear control, 27(5), 761-780. https://doi.org/10.1002/rnc.3597

This paper proposes an integrated fault estimation and fault-tolerant control (FTC) design for Lipschitz non-linear systems subject to uncertainty, disturbance, and actuator/sensor faults. A non-linear unknown input observer without rank requirement... Read More

A new strategy for integration of fault estimation within fault-tolerant control (2016)
Journal Article
Lan, J., & Patton, R. J. (2016). A new strategy for integration of fault estimation within fault-tolerant control. Automatica : the journal of IFAC, the International Federation of Automatic Control, 69, 48-59. https://doi.org/10.1016/j.automatica.2016.02.014

© 2016 Elsevier Ltd. All rights reserved. The problem of active fault tolerant control (FTC) of dynamical systems involves the process of fault detection and isolation/fault estimation (FDI/FE) used to either make a decision as to when and how to cha... Read More

Robust fault estimation using an LPV reference model : ADDSAFE benchmark case study (2015)
Journal Article
Chen, L., Patton, R., & Goupil, P. (2016). Robust fault estimation using an LPV reference model : ADDSAFE benchmark case study. Control engineering practice, 49, 194-203. https://doi.org/10.1016/j.conengprac.2015.12.006

This paper investigates a mixed H−/H∞ linear parameter varying (LPV) fault estimator using an LPV reference estimator. LMIs are used to calculate the affine parameter-dependent gains of the LPV fault estimator. The design strategy is applied to a hig... Read More

Chemical process disturbance compensation as a fault tolerant control problem (2015)
Journal Article
Simani, S., Farsoni, S., & Patton, R. J. (2015). Chemical process disturbance compensation as a fault tolerant control problem. IFAC postprint volumes IPPV / International Federation of Automatic Control, 28(21), 1102-1107. https://doi.org/10.1016/j.ifacol.2015.09.674

In general, the control of chemical processes that involve unknown disturbances presents interesting challenges. Research issues have been focused on detailed modelling of the involved phenomena in order to use e.g. robust on-line disturbance compens... Read More

A relaxed solution to unknown input observers for state and fault estimation (2015)
Journal Article
Tan, D., Patton, R. J., & Wang, X. (2015). A relaxed solution to unknown input observers for state and fault estimation. IFAC postprint volumes IPPV / International Federation of Automatic Control, 28(21), 1048-1053. https://doi.org/10.1016/j.ifacol.2015.09.665

A lot of effort has been devoted to the unknown input observer (UIO) research over the past years. However, the strong disturbance decoupling assumption (manifested as some rank constraint) is often implicitly embedded in much of the existing UIO wor... Read More