Imperial College London

ProfessorThomasParisini

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Chair in Industrial Control
 
 
 
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Contact

 

+44 (0)20 7594 6240t.parisini

 
 
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Location

 

Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Publication Type
Year
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224 results found

Anagnostou G, Boem F, Kuenzel S, Pal BC, Parisini Tet al., 2018, Observer-Based Anomaly Detection of Synchronous Generators for Power Systems Monitoring, IEEE TRANSACTIONS ON POWER SYSTEMS, Vol: 33, Pages: 4228-4237, ISSN: 0885-8950

JOURNAL ARTICLE

Ascencio P, Astolfi A, Parisini T, 2018, Backstepping PDE Design: A Convex Optimization Approach, IEEE TRANSACTIONS ON AUTOMATIC CONTROL, Vol: 63, Pages: 1943-1958, ISSN: 0018-9286

JOURNAL ARTICLE

Boem F, Riverso S, Ferrari-Trecate G, Parisini Tet al., 2018, Plug-and-Play Fault Detection and Isolation for Large-Scale Nonlinear Systems with Stochastic Uncertainties, IEEE Transactions on Automatic Control, ISSN: 0018-9286

IEEE This paper proposes a novel {scalable model-based} Fault Detection and Isolation approach for the monitoring of nonlinear Large-Scale Systems, {consisting of a network of interconnected subsystems. The fault diagnosis architecture is designed to automatically manage the possible plug-in of novel subsystems and unplugging of existing ones. The reconfiguration procedure involves only local operations and communication with neighboring subsystems, thus yielding a {distributed and scalable} architecture. In particular,} the proposed fault diagnosis methodology allows the unplugging of faulty subsystems in order to possibly avoid the propagation of faults in the interconnected Large-Scale System. {Measurement and process uncertainties are characterized in a probabilistic way leading to the computation, at each time-step, of stochastic time-varying detection thresholds with guaranteed false-alarms probability levels.} {To achieve this goal, we develop a distributed state estimation scheme, using a consensus-like approach for the estimation of variables shared among more than one subsystem; the time-varying consensus weights are designed to allow plug-in and unplugging operations and

JOURNAL ARTICLE

Boem F, Zhou Y, Fischione C, Parisini Tet al., 2018, Distributed Pareto-optimal state estimation using sensor networks, AUTOMATICA, Vol: 93, Pages: 211-223, ISSN: 0005-1098

JOURNAL ARTICLE

Chen B, Pin G, Ng WM, Hui SYR, Parisini Tet al., 2018, An Adaptive-Observer-Based Robust Estimator of Multi-sinusoidal Signals, American Control Conference, Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, Pages: 1618-1631, ISSN: 0018-9286

CONFERENCE PAPER

Chen B, Pin G, Ng WM, Li P, Parisini T, Hui SYRet al., 2018, Online Detection of Fundamental and Interharmonics in AC Mains for Parallel Operation of Multiple Grid-Connected Power Converters, IEEE Transactions on Power Electronics, ISSN: 0885-8993

IEEE Parallel operation of multiple grid-connected power converters through LCL filters is known to have the potential problem of triggering oscillations in the ac mains. Such oscillatory frequencies are not integral multiples of the fundamental frequency and hence form a new source of interharmonics. Early detection of such oscillations is essential for the parallel power converters to move out of the unstable zone. This paper presents an online observer-based algorithm that can perform fast detection of interharmonics within a specified frequency band. The algorithm has been adopted in a specific and reduced form from an integral observer algorithm for detection of fundamental and interharmonic voltage components in the ac mains. A new method based on the kernel signal for fast interharmonic detection is proposed and practically verified. It has been implemented in a digital controller to detect oscillations such as those occurring between two grid-connected power converters. The practical results indicate that the algorithm can locate such frequency within the specific frequency band within 1 mains cycle.

JOURNAL ARTICLE

Fedele G, D'Alfonso L, Pin G, Parisini Tet al., 2018, Volterra's kernels-based finite-time parameters estimation of the Chua system, 2nd International Conference on Numerical Computations - Theory and Algorithms (NUMTA), Publisher: ELSEVIER SCIENCE INC, Pages: 121-130, ISSN: 0096-3003

CONFERENCE PAPER

Khalili M, Zhang X, Polycarpou MM, Parisini T, Cao Yet al., 2018, Distributed adaptive fault-tolerant control of uncertain multi-agent systems, AUTOMATICA, Vol: 87, Pages: 142-151, ISSN: 0005-1098

JOURNAL ARTICLE

Li P, Pin G, Fedele G, Parisini Tet al., 2018, Non-asymptotic numerical differentiation: a kernel-based approach, International Journal of Control, Pages: 1-10, ISSN: 0020-7179

© 2018 Informa UK Limited, trading as Taylor & Francis Group The derivative estimation problem is addressed in this paper by using Volterra integral operators which allow to obtain the estimates of the time derivatives with fast convergence rate. A deadbeat state observer is used to provide the estimates of the derivatives with a given fixed-time convergence. The estimation bias caused by modelling error is characterised herein as well as the ISS property of the estimation error with respect to the measurement perturbation. A number of numerical examples are carried out to show the effectiveness of the proposed differentiator also including comparisons with some existing methods.

JOURNAL ARTICLE

Boem F, Ferrari RMG, Keliris C, Parisini T, Polycarpou MMet al., 2017, A Distributed Networked Approach for Fault Detection of Large-Scale Systems, IEEE TRANSACTIONS ON AUTOMATIC CONTROL, Vol: 62, Pages: 18-33, ISSN: 0018-9286

JOURNAL ARTICLE

Chen B, Pin G, Ng WM, Parisini T, Hui S-YRet al., 2017, A Fast-Convergent Modulation Integral Observer for Online Detection of the Fundamental and Harmonics in Grid-Connected Power Electronics Systems, IEEE TRANSACTIONS ON POWER ELECTRONICS, Vol: 32, Pages: 2596-2607, ISSN: 0885-8993

JOURNAL ARTICLE

Chen B, Pin G, Ng WN, Hui SY, Parisini Tet al., 2017, An Adaptive Observer-Based Robust Estimator of Multi-sinusoidal Signals, IEEE Transactions on Automatic Control, Pages: 1-1, ISSN: 0018-9286

JOURNAL ARTICLE

Keliris C, Polycarpou MM, Parisini T, 2017, An Integrated Learning and Filtering Approach for Fault Diagnosis of a Class of Nonlinear Dynamical Systems, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, Vol: 28, Pages: 988-1004, ISSN: 2162-237X

JOURNAL ARTICLE

Parisini T, 2017, Untitled, IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, Vol: 25, Pages: 1-2, ISSN: 1063-6536

JOURNAL ARTICLE

Pin G, Chen B, Parisini T, 2017, Robust finite-time estimation of biased sinusoidal signals: A volterra operators approach, AUTOMATICA, Vol: 77, Pages: 120-132, ISSN: 0005-1098

JOURNAL ARTICLE

Ascencio P, Astolfi A, Parisini T, 2016, An Adaptive Observer for a class of Parabolic PDEs based on a Convex Optimization Approach for Backstepping PDE Design, American Control Conference (ACC), Publisher: IEEE, Pages: 3429-3434, ISSN: 0743-1619

CONFERENCE PAPER

Boem F, Carli R, Farina M, Ferrari-Trecate G, Parisini Tet al., 2016, Scalable Monitoring of Interconnected Stochastic Systems, 55th IEEE Conference on Decision and Control (CDC), Publisher: IEEE, Pages: 1285-1290, ISSN: 0743-1546

CONFERENCE PAPER

Chen B, Parisini T, Polycarpou MM, 2016, A Deadbeat Estimator-Based Fault Isolation Scheme for Nonlinear Systems, European Control Conference (ECC), Publisher: IEEE, Pages: 734-739

CONFERENCE PAPER

Chiaravalloti F, D'Alfonso L, D'Aquila G, Fedele G, Parisini T, Pin Get al., 2016, Finite-Time Parameters Estimation of the Chua System, 2nd International Conference on Numerical Computations - Theory and Algorithms (NUMTA), Publisher: AMER INST PHYSICS, ISSN: 0094-243X

CONFERENCE PAPER

Li P, Fedele G, Pin G, Parisini Tet al., 2016, Kernel-based Deadbeat Parametric Estimation of Bias-affected Damped Sinusoidal Signals, European Control Conference (ECC), Publisher: IEEE, Pages: 519-524

CONFERENCE PAPER

Parisini T, 2016, Untitled, IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, Vol: 24, Pages: 381-382, ISSN: 1063-6536

JOURNAL ARTICLE

Pin G, Assalone A, Lovera M, Parisini Tet al., 2016, Non-Asymptotic Kernel-Based Parametric Estimation of Continuous-Time Linear Systems, IEEE TRANSACTIONS ON AUTOMATIC CONTROL, Vol: 61, Pages: 360-373, ISSN: 0018-9286

JOURNAL ARTICLE

Raimondo DM, Boem F, Gallo A, Parisini Tet al., 2016, A Decentralized Fault-Tolerant Control scheme based on Active Fault Diagnosis, 55th IEEE Conference on Decision and Control (CDC), Publisher: IEEE, Pages: 2164-2169, ISSN: 0743-1546

CONFERENCE PAPER

Riverso S, Boem F, Ferrari-Trecate G, Parisini Tet al., 2016, Plug-and-Play Fault Detection and Control-Reconfiguration for a Class of Nonlinear Large-Scale Constrained Systems, IEEE TRANSACTIONS ON AUTOMATIC CONTROL, Vol: 61, Pages: 3963-3978, ISSN: 0018-9286

JOURNAL ARTICLE

Wang Y, Pin G, Serrani A, Parisini Tet al., 2016, Removing SPR-like Conditions in Adaptive Feedforward Control of Uncertain Systems, 55th IEEE Conference on Decision and Control (CDC), Publisher: IEEE, Pages: 4728-4733, ISSN: 0743-1546

CONFERENCE PAPER

Yin J, Lin D, Lee CK, Parisini T, Hui SYRet al., 2016, Front-End Monitoring of Multiple Loads in Wireless Power Transfer Systems Without Wireless Communication Systems, IEEE TRANSACTIONS ON POWER ELECTRONICS, Vol: 31, Pages: 2510-2517, ISSN: 0885-8993

JOURNAL ARTICLE

Yin J, Lin D, Parisini T, Hui SYRet al., 2016, Front-End Monitoring of the Mutual Inductance and Load Resistance in a Series-Series Compensated Wireless Power Transfer System, IEEE TRANSACTIONS ON POWER ELECTRONICS, Vol: 31, Pages: 7339-7352, ISSN: 0885-8993

JOURNAL ARTICLE

Zhou Y, Boem F, Fischione C, Parisini Tet al., 2016, Distributed Fault Detection with Sensor Networks using Pareto-Optimal Dynamic Estimation Method, European Control Conference (ECC), Publisher: IEEE, Pages: 728-733

CONFERENCE PAPER

Ascencio P, Astolfi A, Parisini T, 2015, Backstepping PDE Design, Volterra and Fredholm Operators: a Convex Optimization Approach, 54th IEEE Conference on Decision and Control (CDC), Publisher: IEEE, Pages: 7048-7053, ISSN: 0743-1546

CONFERENCE PAPER

Assalone A, Pin G, Parisini T, 2015, Kernel-based Continuous-Time Identification of Hammerstein Models: Application to the case of Ankle Joint Stiffness Dynamics, European Control Conference (ECC), Publisher: IEEE, Pages: 2015-2020

CONFERENCE PAPER

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