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Functional optimization problems can be solved analytically only if special assumptions are verified; otherwise, approximations are needed. The approximate method that we propose is based on two steps. First, the decision functions are constrained to take on the structure of linear combinations of basis functions containing free parameters to be optimized… (More)

- Xiaodong Zhang, Marios M. Polycarpou, Thomas Parisini
- IEEE Trans. Automat. Contr.
- 2002

This paper presents a robust fault diagnosis scheme for abrupt and incipient faults in nonlinear uncertain dynamic systems. A detection and approximation estimator is used for online health monitoring. Once a fault is detected, a bank of isolation estimators is activated for the purpose of fault isolation. A key design issue of the proposed fault isolation… (More)

- Thomas Parisini, Riccardo Zoppoli
- Automatica
- 1995

Abstiaet-A receding-horizon (RH) optimal control scheme for a discrete-time nonlinear dynamic system is presented. A nonquadratic cost function is considered, and constraints are imposed on both the state and control vectors. Two main contributions are reported. The first consists in deriving a stabilizing regulator by adding a proper terminal penalty… (More)

- Elisa Franco, Lalo Magni, Thomas Parisini, Marios M. Polycarpou, Davide Martino Raimondo
- IEEE Trans. Automat. Contr.
- 2008

This paper addresses the problem of cooperative control of a team of distributed agents with decoupled nonlinear discrete-time dynamics, which operate in a common environment and exchange-delayed information between them. Each agent is assumed to evolve in discrete-time, based on locally computed control laws, which are computed by exchanging delayed state… (More)

- Marco Baglietto, Thomas Parisini, Riccardo Zoppoli
- IEEE Trans. Neural Networks
- 2001

Large-scale traffic networks can be modeled as graphs in which a set of nodes are connected through a set of links that cannot be loaded above their traffic capacities. Traffic flows may vary over time. Then the nodes may be requested to modify the traffic flows to be sent to their neighboring nodes. In this case, a dynamic routing problem arises. The… (More)

- Xiaodong Zhang, Thomas Parisini, Marios M. Polycarpou
- IEEE Trans. Automat. Contr.
- 2004

This paper presents a unified methodology for detecting, isolating and accommodating faults in a class of nonlinear dynamic systems. A fault diagnosis component is used for fault detection and isolation. On the basis of the fault information obtained by the fault-diagnosis procedure, a fault-tolerant control component is designed to compensate for the… (More)

- Riccardo M. G. Ferrari, Thomas Parisini, Marios M. Polycarpou
- IEEE Trans. Automat. Contr.
- 2009

This technical note deals with the problem of designing a distributed fault detection methodology for distributed (and possibly largescale) nonlinear dynamical systems that are modelled as the interconnection of several subsystems. The subsystems are allowed to overlap, thus sharing some state components. For each subsystem, a Local Fault Detector is… (More)

- Angelo Alessandri, Marco Baglietto, Thomas Parisini, Riccardo Zoppoli
- IEEE Trans. Automat. Contr.
- 1999

A neural state estimator is described, acting on discrete-time nonlinear systems with noisy measurement channels. A sliding-window quadratic estimation cost function is considered and the measurement noise is assumed to be additive. No probabilistic assumptions are made on the measurement noise nor on the initial state. Novel theoretical convergence results… (More)

- Xiaodong Zhang, Thomas Parisini, Marios M. Polycarpou
- IEEE Trans. Automat. Contr.
- 2005

- Riccardo M. G. Ferrari, Thomas Parisini, Marios M. Polycarpou
- IEEE Trans. Automat. Contr.
- 2012

This paper deals with the problem of designing a distributed fault detection and isolation methodology for nonlinear uncertain large-scale discrete-time dynamical systems. As a divide et impera approach is used to overcome the scalability issues of a centralized implementation, the large scale system being monitored is modelled as the interconnection of… (More)