Publications
60 results found
Falugi P, Olaru S, Dumur D, 2008, Explicit robust multi-model predictive control, Pages: 1868-1873
The paper deals with robust predictive control based on a LMI approach. With respect to the well established case of linear models, with a global polytopic uncertainty, in the present approach the conservativeness reduction is assured by allowing different local descriptions of the uncertainty. The prediction model can thus be interpreted as a multi-model description of the plant to be controlled. The techniques is effective for a large class of nonlinear systems embedded into polytopic models. For the practical implementation the construction of suitable (explicit) descriptions of the control law are described upon concrete algorithms. © 2008 IEEE.
Falugi P, Giarre L, 2008, Application of model quality evaluation to systems biology, 3rd IEEE International Symposium on Control, Communications and Signal Processing (ISCCSP 2008), Publisher: IEEE, Pages: 135-+
Falugi P, Olaru S, Dumur D, 2008, Explicit robust multi-model predictive control, 16th Mediterranean Conference on Control and Automation, Publisher: IEEE, Pages: 808-813, ISSN: 2325-369X
- Author Web Link
- Cite
- Citations: 2
Falugi P, Olaru S, Dumur D, 2008, Robust multi-model predictive control using LMIs, IFAC Proceedings Volumes, Vol: 41, Pages: 8809-8814, ISSN: 1474-6670
Bianchini G, Falugi P, Tesi A, et al., 2007, A convex lower bound for the real l<sub>2</sub> parametric stability margin of linear control systems with restricted complexity controllers, IEEE TRANSACTIONS ON AUTOMATIC CONTROL, Vol: 52, Pages: 514-520, ISSN: 0018-9286
- Author Web Link
- Cite
- Citations: 2
Paola Falugi, 2006, Identification of Replicator-Mutator Models, 2006 14th Mediterranean Conference on Control and Automation, Publisher: IEEE
Chisci L, Falugi P, 2006, Asymptotic tracking for constrained monotone systems, IEEE TRANSACTIONS ON AUTOMATIC CONTROL, Vol: 51, Pages: 873-879, ISSN: 0018-9286
- Author Web Link
- Cite
- Citations: 10
Giarré L, Bauso D, Falugi P, et al., 2006, LPV model identification for gain scheduling control:: An application to rotating stall and surge control problem, CONTROL ENGINEERING PRACTICE, Vol: 14, Pages: 351-361, ISSN: 0967-0661
- Author Web Link
- Cite
- Citations: 64
Falugi P, Giarre L, 2006, Set membership (In) validation of nonlinear positive models for biological systems, 45th IEEE Conference on Decision and Control, Publisher: IEEE, Pages: 2370-+, ISSN: 0743-1546
Falugi P, Giarre L, 2006, Identification of Replicator-Mutator models, 14th Mediterranean Conference on Control and Automation, Publisher: IEEE, Pages: 900-+, ISSN: 2325-369X
Falugi P, Giarré L, 2006, PARAMETER BOUNDED ESTIMATION FOR QUASISPECIES MODELS OF MOLECULAR EVOLUTION, IFAC Proceedings Volumes, Vol: 39, Pages: 1186-1191, ISSN: 1474-6670
Chisci L, Falugi P, Zappa G, 2005, Predictive tracking control of constrained nonlinear systems, IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS, Vol: 152, Pages: 309-316, ISSN: 1350-2379
- Author Web Link
- Cite
- Citations: 12
Falugi P, Giarre L, Zappa G, 2005, Approximation of the feasible parameter set in worst-case identification of Hammerstein models, Automatica, Vol: 41, Pages: 1017-1024, ISSN: 1873-2836
The estimation of the Feasible Parameter Set (FPS) for Hammerstein models in a worst-case setting is considered. A bounding procedure is determined both for polytopic and ellipsoidic uncertainties. It consists in the projection of the FPS of the extended parameter vector onto suitable subspaces and in the solution of convex optimization problems which provide Uncertainties Intervals of the model parameters. The bounds obtained are tighter than in the previous approaches.
Chisci L, Falugi P, 2005, Tracking control for constrained monotone systems, Pages: 61-66, ISSN: 1474-6670
Tracking control of nonlinear systems subject to constraints on the input is a challenging issue in control design. Forcing saturation on a previously designed controller may in general lead to destabilization or at least result in performance losses. Hereby it is shown that for a certain class of nonlinear monotone systems it is possible to design a suitable static nonlinear output feedback which stabilizes the system and preserves stability under control saturation. Copyright © 2005 IFAC.
Chisci L, Falugi P, 2005, Discussion on: “Improved MPC Design based on Saturating Control Laws”, European Journal of Control, Vol: 11, Pages: 123-124, ISSN: 0947-3580
Chisci L, Falugi P, 2005, Discussion on: "Improved MPC design based on saturating control laws", EUROPEAN JOURNAL OF CONTROL, Vol: 11, Pages: 123-124, ISSN: 0947-3580
Chisci L, Falugi P, 2005, Asymptotic tracking for state-constrained monotone systems, 44th IEEE Conference on Decision Control/European Control Conference (CCD-ECC), Publisher: IEEE, Pages: 8300-8305, ISSN: 0743-1546
Chisci L, Falugi P, Zappa G, 2003, Tracking of piecewise constant references for constrained nonlinear systems, Pages: 886-891
The paper addresses tracking of a piecewise constant reference for a nonlinear system subject to control and/or state constraints. The proposed controller, called dual-mode, extends to the nonlinear case an approach formerly introduced for linear systems. The dual-mode controller is based on the knowledge of the set of feasible state-setpoint pairs and operates in two different modes: as a regulator if the current state is feasible for the desired set-point, or attempts to recover feasibility as quickly as possible whenever feasibility is lost due to a set-point change. The difficulty of constructing the feasibility set in the state-setpoint space for a nonlinear system is overcome by embedding the original system into a family of uncertain (polytopic) linear systems.
Chisci L, Falugi P, Zappa G, 2003, Gain-scheduling MPC of nonlinear systems, INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, Vol: 13, Pages: 295-308, ISSN: 1049-8923
- Author Web Link
- Cite
- Citations: 51
Chisci L, Falugi P, Zappa G, 2003, Tracking of piecewise constant references for constrained nonlinear systems, Pages: 886-891
© 2003 EUCA. The paper addresses tracking of a piecewise constant reference for a nonlinear system subject to control and/or state constraints. The proposed controller, called dual-mode, extends to the nonlinear case an approach formerly introduced for linear systems. The dual-mode controller is based on the knowledge of the set of feasible state-setpoint pairs and operates in two different modes: as a regulator if the current state is feasible for the desired set-point, or attempts to recover feasibility as quickly as possible whenever feasibility is lost due to a set-point change. The difficulty of constructing the feasibility set in the state-setpoint space for a nonlinear system is overcome by embedding the original system into a family of uncertain (polytopic) linear systems.
Chisci L, Falugi P, Zappa G, 2003, Set-point tracking for a class of constrained nonlinear systems with application to a CSTR, 42nd IEEE Conference on Decision and Control, Publisher: IEEE, Pages: 3930-3935
- Author Web Link
- Cite
- Citations: 3
Ling KV, Falugi P, Maciejowski JM, et al., 2002, Robust predictive control of the furuta pendulum, Pages: 37-42, ISSN: 1474-6670
In this paper, a Linear Parameter Varying (LPV) model of the Furuta pendulum is derived. Based on this model, a balancing controller is designed using robust predictive control techniques. Invariant set theory is used to accurately characterise the region of the state space in which the balancing controller is effective. An energy-based control law is used to swing up the pendulum. Invariant sets calculated for the balancing controller can be exploited to systematically determine the switching condition between swing up and balancing controllers. In practice, the pendulum may be swung towards the upright position with varying speed and the speed of the rotating arm may also vary. Based on this physical insight, the speed of the rotating arm is chosen as gain scheduling variable. It is shown that this strategy is effective in achieving a more consistent swing up and balancing behaviour which is not sensitive to the performance of the swing up controller.
Chisci L, Falugi P, Zappa G, 2002, Redecing-horizon control of constrained uncertain linear systems with disturbances, KYBERNETIKA, Vol: 38, Pages: 169-185, ISSN: 0023-5954
- Author Web Link
- Cite
- Citations: 1
Falugi P, Giarré L, Chisci L, et al., 2002, LPV predictive control of the stall and surge for jet engine, Periodic Control Systems 2001 (PSYCO 2001) A Proceedings Volume from the IFAC Workshop, Cernobbio-Como, Italy, 27-28 August 2001, Editors: Bittanti, Colaneri, Pages: 31-36, ISBN: 9780080436821
Falugi P, Giarré L, Chisci L, et al., 2002, LPV predictive control of the stall and surge for jet engine, IFAC Workshop on Periodic Control Systems, Publisher: PERGAMON-ELSEVIER SCIENCE LTD, Pages: 31-36, ISSN: 1369-4960
Chisci L, Falugi P, Zappa G, 2001, Predictive control for constrained LPV systems, Pages: 3074-3079
This paper addresses predictive control of constrained LPV systems. The objective is to optimize nominal performance while guaranteeing robust stability and constraint satisfaction. The latter goal is achieved by exploiting invariant sets and a receding horizon optimization procedure which provides a nonlinear correction to the nominal gain scheduled linear feedback. Feasibility domains for the gain scheduled and predictive controller are evaluated.
Bianchini G, Falugi P, Tesi A, et al., 2001, On the synthesis of restricted complexity controllers for uncertain plants with ellipsoidal perturbations, 40th IEEE Conference on Decision and Control, Publisher: IEEE, Pages: 1562-1567, ISSN: 0743-1546
- Author Web Link
- Cite
- Citations: 1
Chisci L, Falugi P, Zappa G, 2001, Predictive control for constrained systems with polytopic uncertainty, American Control Conference (ACC), Publisher: IEEE, Pages: 3073-3078, ISSN: 0743-1619
- Author Web Link
- Cite
- Citations: 8
Bianchini G, Falugi P, Tesi A, et al., 1998, Restricted complexity robust controllers for uncertain plants with rank one real perturbations, 37th IEEE Conference on Decision and Control, Publisher: IEEE, Pages: 1213-1218, ISSN: 0191-2216
- Author Web Link
- Cite
- Citations: 3
This data is extracted from the Web of Science and reproduced under a licence from Thomson Reuters. You may not copy or re-distribute this data in whole or in part without the written consent of the Science business of Thomson Reuters.