Publications
399 results found
Franco E, Parisini T, Polycarpou MM, 2007, Design and stability analysis of cooperative receding-horizon control of linear discrete-time agents, INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, Vol: 17, Pages: 982-1001, ISSN: 1049-8923
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- Citations: 15
Lewis FL, Huang J, Parisini T, et al., 2007, Special issue on neural networks for feedback control systems., IEEE Trans Neural Netw, Vol: 18, Pages: 969-972, ISSN: 1045-9227
Scardovi L, Baglietto M, Parisini T, 2007, Active state estimation for nonlinear systems: A neural approximation approach, IEEE TRANSACTIONS ON NEURAL NETWORKS, Vol: 18, Pages: 1172-1184, ISSN: 1045-9227
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- Citations: 15
Papadimitropoulos A, Rovithakis GA, Parisini T, 2007, Fault detection in mechanical systems with friction phenomena: An online neural approximation approach, IEEE TRANSACTIONS ON NEURAL NETWORKS, Vol: 18, Pages: 1067-1082, ISSN: 1045-9227
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- Citations: 19
Lewis FL, Huang J, Parisini T, et al., 2007, Guest editorial special issue on neural networks for feedback control systems, IEEE TRANSACTIONS ON NEURAL NETWORKS, Vol: 18, Pages: 969-972, ISSN: 1045-9227
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- Citations: 10
PARISINI T, ZOPPOLI R, 2007, NEURAL NETWORKS FOR NONLINEAR STATE ESTIMATION, INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, Vol: 4, Pages: 231-248, ISSN: 1049-8923
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- Citations: 23
CASALINO G, MINCIARDI R, PARISINI T, 2007, DEVELOPMENT OF A NEW SELF-TUNING CONTROL ALGORITHM FOR FINITE AND INFINITE HORIZON QUADRATIC ADAPTIVE OPTIMIZATION, INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, Vol: 5, Pages: 405-425, ISSN: 0890-6327
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- Citations: 1
Ferrari RMG, Parisini T, Polycarpou MM, 2007, A fault detection and isolation scheme for nonlinear uncertain discrete-time sytems, Pages: 1009-1014, ISSN: 0743-1546
This paper presents a fault detection and isolation scheme for abrupt and incipient faults in nonlinear uncertain discrete-time systems. The proposed fault diagnosis architecture consists of the fault detection and approximation estimator and a bank of fault isolation estimators, each corresponding to a particular type of fault. A time-varying threshold that guarantees no false-positive alarms and fault detectability conditions is derived analytically. For the fault isolation scheme, we design adaptive residual thresholds associated with each isolation estimator and obtain sufficient conditions for fault isolability. To illustrate the theoretical results, a simulation example based on a discrete-time version of the three-tank problem is presented. © 2007 IEEE.
Selmic RR, Polycarpou MM, Parisini T, 2007, Output feedback actuator fault detection in nonlinear systems using neural networks, Pages: 3232-3239
In this paper, a neural network-based scheme for actuator fault detection in unknown, input-affine, nonlinear systems is presented. Neural networks are used for observer design to approximate the unknown system functions. The nonlinear system is in a normal form where the system states are not assumed to be available, i.e., only the system output is available for measurement. Stable neural net tuning algorithms are proposed and a system identification scheme is designed using a Lyapunov-based approach. In the paper, the actuator-fault dynamics are analyzed and a rigorous detectability condition is given for actuator faults relating the actuator desired input signal, neural net-based observer sensitivity, and detectability time. Moreover, the issue of fault propagation through the system dynamics towards the measurable output is addressed and specific conditions under which such faults can be detected are proposed. Simulation results are presented to illustrate the effectiveness of the proposed technique.
Casagrande D, Astolfi A, Parisini T, 2007, Achieving stability in non-holonomic systems by means of switched control laws, Taming Heterogeneity and Complexity of Embedded Control, Editors: Lamnabhi-Lagarrigue, Laghrouche, Loria, Panteley, Lamnabhi-Lagarrigue, Laghrouche, Loria, Panteley, Publisher: Hermes
Casagrande D, Astolfi A, Parisini T, 2007, Switching-based Lyapunov Function and the Stabilization of a Class of Non-holonomic Systems, Hybrid systems: computation and control 2007, Publisher: Springer Verlag
Casagrande D, Astolfi A, Parisini T, 2007, A globally stabilizing time-switching control strategy for an underactuated rigid body, 26th American Control Conference, Publisher: IEEE, Pages: 2548-+, ISSN: 0743-1619
Casagrande D, Astolfi A, Parisini T, 2007, A Globally Stabilizing Time-switching Control Strategy for the Attitude of an Underactuated Rigid Body, 26th American Control Conference
Casagrande D, Astolfi A, Parisini T, 2007, Switching-based lyapunov function and the stabilization of a class of non-holonomic systems, 10th International Conference on Hybrid Systems - Computation and Control, Publisher: SPRINGER-VERLAG BERLIN, Pages: 664-+, ISSN: 0302-9743
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- Citations: 1
Ferrari RMG, Parisini T, Polycarpou MM, 2007, A fault detection and isolation scheme for nonlinear uncertain discrete-time sytems, 46th IEEE Conference on Decision and Control, Publisher: IEEE, Pages: 5150-+, ISSN: 0743-1546
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- Citations: 3
Ferrari RMG, Parisini T, Polycarpou MM, 2007, Distributed fault diagnosis with overlapping decompositions and consensus filters, 26th American Control Conference, Publisher: IEEE, Pages: 4884-+, ISSN: 0743-1619
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- Citations: 10
Ferrari RMG, Parisini T, Polycarpou MM, 2006, A fault detection scheme for distributed nonlinear uncertain systems, Pages: 2742-2747
This paper considers the problem of designing a fault detection scheme for a distributed nonlinear dynamic system. A network of distributed estimators is constructed where an adaptive estimator based on an on-line neural approximation model is embedded into each estimation agent. The local detection decision is made on the basis of the knowledge of the local dynamic model and on an on-line-learned approximation of the dynamic influence of the neighboring sub-systems. The stability of the adaptive estimation scheme is rigorously investigated and sufficient fault detectability conditions are also proposed. Simulation results are finally provided to demonstrate the effectiveness of the proposed architecture and methodology. © 2006 IEEE.
Culverhouse PF, Williams R, Simpson B, et al., 2006, HAB Buoy:: a new instrument for <i>in situ</i> monitoring and early warning of harmful algal bloom events, 11th International Conference on Harmful Algae, Publisher: NATL INQUIRY SERVICES CENTRE PTY LTD, Pages: 245-250, ISSN: 1814-232X
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- Citations: 9
Zhang X, Polycarpou MM, Parisini T, 2006, Erratum: Robust fault isolation for a class of nonlinear input-output systems (International Journal of Control (2001) 74:13 (1295-1310)), International Journal of Control, Vol: 79, ISSN: 0020-7179
Zhang XD, Polycarpou MM, Parisini T, 2006, Robust fault isolation for a class of nonlinear input-output systems (vol 74, pg 1295, 2001), INTERNATIONAL JOURNAL OF CONTROL, Vol: 79, Pages: 830-830, ISSN: 0020-7179
Previdi F, Parisini T, 2006, Model-free actuator fault detection using a spectral estimation approach: the case of the DAMADICS benchmark problem, CONTROL ENGINEERING PRACTICE, Vol: 14, Pages: 635-644, ISSN: 0967-0661
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- Citations: 24
Franco E, Olfati-Saber R, Parisini T, et al., 2006, Distributed fault diagnosis using sensor networks and consensus-based filters, Pages: 386-391, ISSN: 0743-1546
This paper considers the problem of designing distributed fault diagnosis algorithms for dynamic systems using sensor networks. A network of distributed estimation agents is designed where a bank of local Kalman filters is embedded into each sensor. The diagnosis decision is performed by a distributed hypothesis testing method that relies on a belief consensus algorithm. Under certain assumptions, both the distributed estimation and the diagnosis algorithms are derived from their centralized counterparts thanks to dynamic average-consensus techniques. Simulation results are provided to demonstrate the effectiveness of the proposed architecture and algorithm. © 2006 IEEE.
Selmic RR, Polycarpou MM, Parisini T, 2006, Actuator fault detection in nonlinear uncertain systems using neural on-line approximation models, Pages: 5123-5128, ISSN: 0743-1619
This paper describes actuator fault identification in unknown, input-affine, nonlinear systems using neural networks. Neural net tuning algorithms have been derived and identifier have been developed using the Lyapunov approach. The paper defines and analyses the fault dynamics i.e., the dynamical properties of a failure process. A rigorous detectability condition is given for actuator faults in nonlinear systems relating the actuator desired input signal and neural net-based observer sensitivity. Sufficient conditions are given in terms of the input signal and related actuator fault such that a fault can be detected. Simulation results are presented to illustrate the detectability criteria and fault detection in nonlinear systems. © 2006 IEEE.
Franco E, Olfati-Saber R, Parisini T, et al., 2006, Distributed fault diagnosis using sensor networks and consensus-based filters, 45th IEEE Conference on Decision and Control, Publisher: IEEE, Pages: 387-+, ISSN: 0743-1546
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- Citations: 36
Ferrari RMG, Parisini T, Polycarpou MM, 2006, A fault detection scheme for distributed nonlinear uncertain systems, IEEE International Symposium on Intelligent Control, Publisher: IEEE, Pages: 508-513
Selmic RR, Polycarpou MM, Parasini T, 2006, Actuator fault detection in nonlinear uncertain systems using neural on-line approximation models, American Control Conference 2006, Publisher: IEEE, Pages: 41-+, ISSN: 0743-1619
Parlos AG, Ji CY, Parisini T, et al., 2005, Introduction to the Special Issue on Adaptive Learning Systems in Communication Networks, IEEE TRANSACTIONS ON NEURAL NETWORKS, Vol: 16, Pages: 1013-1018, ISSN: 1045-9227
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- Citations: 1
Zhang XD, Parisini T, Polycarpou MM, 2005, Sensor bias fault isolation in a class of nonlinear systems, IEEE TRANSACTIONS ON AUTOMATIC CONTROL, Vol: 50, Pages: 370-376, ISSN: 0018-9286
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- Citations: 115
Patan K, Parisini T, 2005, Identification of neural dynamic models for fault detection and isolation: the case of a real sugar evaporation process, JOURNAL OF PROCESS CONTROL, Vol: 15, Pages: 67-79, ISSN: 0959-1524
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- Citations: 54
Sacone S, Franco E, Parisini T, 2005, A hybrid control scheme for freeway systems, Pages: 108-113, ISSN: 1474-6670
The development of a hybrid control scheme for freeway systems is the objective of the paper. A finite number of models is defined, each relevant to a specific traffic condition. The system state variables are the differences between the traffic density and the traffic mean speed in each section and their desired values. A receding-horizon (RH) regulator is defined for each model being the control variables the traffic volumes at on-ramps. A hybrid control scheme is proposed, which is composed of two control levels. The first control level consists of a finite class of models and RH control functions. The second level acts as a supervisor that chooses the best model and control law to be applied to the plant according to the present system state and possible external events. The application of the proposed control scheme makes it possible to guarantee some suitable stability properties of the origin as an equilibrium point of the system considered at the first control level. Copyright © 2005 IFAC.
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