Publications
685 results found
Casagrande D, Astolfi A, Langarica D, et al., 2014, Solution to the multi-machine transient stability problem and simulated validation in realistic scenarios, IET GENERATION TRANSMISSION & DISTRIBUTION, Vol: 8, Pages: 1392-1405, ISSN: 1751-8687
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- Citations: 4
Mylvaganam T, Bauso D, Astolfi A, 2014, Mean-field games and two-point boundary value problems, Conference on Decision and Control
Jiang J, Astolfi A, 2014, Output-Feedback Shared-Control for Fully Actuated Linear Mechanical Systems, American Control Conference, Publisher: IEEE, Pages: 335-340, ISSN: 0743-1619
This paper presents an output feedback shared-control algorithm for fully-actuated, linear, mechanical systems. The feasible configurations of the system are described by a group of linear inequalities which characterize a convex admissible set. The properties of the shared-control algorithm are established with a Lyapunov-like analysis. Simple numerical examples demonstrate the effectiveness of the strategy.
Bauso D, Mylvaganam T, Astolfi A, 2014, Transient stability of a power grid via robust mean-field games, Pages: 9-14
The transient stability of a power grid characterized by regional aggregations is studied via robust mean-field games. The model involves a set of coupled Hamilton-Jacobi-Bellman-Isaacs equations and Fokker-Planck-Kolmogorov equations. The former describe the behavior of each single machine, while the latter model the population behavior in aggregate form. The model sheds light on a multi-scale phenomenon including a fast synchronization within the same population and slow inter-cluster oscillations between geographically sparse grids.
Mylvaganam T, Astolfi A, 2014, Approximate solutions to a class of nonlinear Stackelberg differential games, Conference on Decision and Control
Carnevale D, Astolfi A, 2014, Semi-Global Multi-Frequency Estimation in the Presence of Deadzone and Saturation, IEEE TRANSACTIONS ON AUTOMATIC CONTROL, Vol: 59, Pages: 1913-1918, ISSN: 0018-9286
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- Citations: 6
Padoan A, Astolfi A, 2014, Model reduction by moment matching for ZIP systems, 53rd IEEE Conference on Decision and Control, Pages: 3631-3636, ISSN: 0191-2216
Sassano M, Astolfi A, 2014, Dynamic generalized controllability and observability functions with applications to model reduction and sensor deployment, AUTOMATICA, Vol: 50, Pages: 1349-1359, ISSN: 0005-1098
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- Citations: 10
Yaclin Y, Goren-Sumer L, Astolfi A, 2014, Some results on disturbance attenuation for Hamiltonian systems via direct discrete-time design, International Journal of Robust and Nonlinear Control, Vol: 25, Pages: 1927-1940, ISSN: 1099-1239
The disturbance attenuation and robust disturbance attenuation problems for Hamiltonian systems in the discrete-time setting are considered and some new results are presented. The new results are derived utilizing the recently presented dissipativity equality obtained by adding the dissipation rate function to the classical dissipativity inequality. A selection of the dissipation rate function yields new results. These results include a condition on the dissipation structure of the system to achieve the desired disturbance attenuation level and gives direct construction of optimal control laws for any desired disturbance attenuation level. The results remove the need to solve Hamilton–Jacobi–Isaacs inequalities.
Scarciotti G, Astolfi A, 2014, Approximate finite-horizon optimal control for input-affine nonlinear systems with input constraints, Journal of Control and Decision, Vol: 1, Pages: 149-165, ISSN: 2330-7706
The finite-horizon optimal control problem with input constraints consists in controlling the state of a dynamical system over a finite time interval (possibly unknown) minimising a cost functional, while satisfying hard constraints on the input. In this framework, the minimum-time optimal control problem and some related problems are of interest for both theory and applications. For linear systems, the solution of the problem often relies upon the use of bang-bang control signals. For nonlinear systems, the “shape” of the optimal input is in general not known. The control input can be found solving a Hamilton–Jacobi–Bellman (HJB) partial differential equation (PDE): it typically consists of a combination of bang-bang controls and singular arcs. In this paper, a methodology to approximate the solution of the HJB PDE is proposed. This approximation yields a dynamic state feedback law. The theory is illustrated by means of two examples: the minimum-time optimal control problem for an industrial wastewater treatment plant and the Goddard problem, i.e. a maximum-range optimal control problem.
Bauso D, Mylvaganam T, Astolfi A, 2014, A Two-Point Boundary Value Formulation of a Mean-Field Crowd-Averse Game, IFAC World Congress
Chang H, Astolfi A, Shim H, 2014, HIV treatment: With or without explicit modeling of the immune system, Pages: 2470-2475
The human immunodeficiency virus (HIV) infection, that causes acquired immune deficiency syndrome (AIDS), is a dynamic process that can be modeled via differential equations. By varying the drug effect in the model, we show how to drive any initial state into an equilibrium called the long-term nonprogressor, where the infected patient does not develop the symptoms of AIDS. In this paper we extend the scheduling method of gradual dose reduction, which has recently been justified for an HIV dynamic model, to a more complicated HIV model. We then investigate minimal recovery level of HIV patients by constant dosage, without any immune system modeling. The proposed result can be used for a number of biological models.
Dib W, Astolfi A, Ortega R, 2014, A state observer for multimachine power systems based on model reduction by moment matching, Pages: 1541-1546
The problem of model reduction by moment matching for multimachine power systems is addressed and solved using the recently introduced notion of moment for nonlinear systems. It is shown that the reduced order model can be used to construct asymptotic estimates for the unmeasured states. The theory is illustrated by means of simulation on a 2-machine power system.
Casagrande D, Astolfi A, 2014, Time-dependent hamiltonian functions and the representation of dynamic measurements sets, Pages: 880-885
The paper describes a method for representing the dynamic clustering of time-varying data. The main goal is the extension to the continuous-time dynamic scenario of an existing method for the static case. The clustering algorithm used in the static version of the method is based on the notion of clustering function and level lines; clusters are identified as the level sets corresponding to a reference value of the clustering function. The results presented herein refer to the case in which time is introduced as an input variable of the clustering function; thus the level sets are region of the three-dimensional space and level lines become level surfaces.
Ionescu TC, Astolfi A, Colaneri P, 2014, Families of moment matching based, low order approximations for linear systems, SYSTEMS & CONTROL LETTERS, Vol: 64, Pages: 47-56, ISSN: 0167-6911
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- Citations: 51
Sassano M, Astolfi A, 2014, Approximate Solution of HJBE and Optimal Control in Internal Combustion Engines, Pages: 59-73, ISSN: 0170-8643
Optimal control problems naturally arise in several kinds of applications, including automotive systems. Unfortunately, the solution of such problems-which hinges upon a partial differential differential equation, the so-called Hamilton-Jacobi-Bellman (HJB) pde-might be hard or even impossible to determine in practice. Herein, introducing the notion of Dynamic Value function, we propose a novel technique that consists in the immersion of the given model into an extended state-space in which the solution may be defined in a constructive manner. This leads to a dynamic control law that approximates the optimal policy. The proposed approach is validated by means of a case study arising from the field of combustion engines, namely optimal control of the torque and the speed of a test bench. © Springer International Publishing Switzerland 2014.
Schiffer J, Ortega R, Astolfi A, et al., 2014, Stability of Synchronized Motions of Inverter-Based Microgrids Under Droop Control, 19th World Congress of the International-Federation-of-Automatic-Control (IFAC), Publisher: ELSEVIER SCIENCE BV, Pages: 6361-6367, ISSN: 2405-8963
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- Citations: 1
Nunna K, Toh TT, Mitcheson PD, et al., 2014, Nonlinear observer and controller design for sensorless operation of a continuously rotating energy harvester, 19th World Congress of the International-Federation-of-Automatic-Control (IFAC), Publisher: ELSEVIER SCIENCE BV, Pages: 55-60, ISSN: 2405-8963
Scarciotti G, Astollfi A, 2014, Model Reduction by Moment Matching for Linear Time-Delay Systems, 19th World Congress of the International-Federation-of-Automatic-Control (IFAC), Publisher: ELSEVIER SCIENCE BV, Pages: 9462-9467, ISSN: 2405-8963
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- Citations: 1
Mylvaganam T, Astolfi A, 2014, Approximate Optimal Monitoring, 13th European Control Conference (ECC), Publisher: IEEE, Pages: 1199-1204
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- Citations: 10
Bauso D, Mylvaganam T, Astolfi A, 2014, Approximate solutions for crowd-averse robust mean-field games, 13th European Control Conference (ECC), Publisher: IEEE, Pages: 1217-1222
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- Citations: 4
Chang H, Moog CH, Astolfi A, 2014, Analysis of the HIV Eradication Phenomenon at the Early Stage of Infection with an Extracellular Deterministic Model, 36th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC), Publisher: IEEE, Pages: 330-333, ISSN: 1557-170X
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- Citations: 1
Chang H, Astolfi A, 2014, Dynamics of Autoimmune Diseases, SPRINGER HANDBOOK OF BIO-/NEUROINFORMATICS, Editors: Kasabov, Publisher: SPRINGER-VERLAG BERLIN, Pages: 491-500, ISBN: 978-3-642-30573-3
Padoan A, Astolfi A, 2014, Model reduction by moment matching for ZIP systems, 53rd IEEE Annual Conference on Decision and Control (CDC), Publisher: IEEE, Pages: 3631-3636, ISSN: 0743-1546
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- Citations: 1
Nunna K, Sassano M, Astolfi A, 2014, Dynamic Interconnection and Damping Assignment, 53rd IEEE Annual Conference on Decision and Control (CDC), Publisher: IEEE, Pages: 1563-1568, ISSN: 0743-1546
Mylvaganam T, Sassano M, Astolfi A, 2014, A Constructive Differential Game Approach to Collision Avoidance in Multi-Agent Systems, American Control Conference, Publisher: IEEE, Pages: 311-316, ISSN: 0743-1619
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- Citations: 15
Astolfi A, Boncagni L, Carnevale D, et al., 2014, Adaptive Hybrid Observer of the Plasma Horizontal Position at FTU, 22nd Mediterranean Conference on Control and Automation (MED), Publisher: IEEE, Pages: 1088-1093, ISSN: 2325-369X
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- Citations: 2
Nunna K, Toh TT, Mitcheson PD, et al., 2013, Sensorless Estimation and Nonlinear Control of a Rotational Energy Harvester, The 13th International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications (PowerMEMS 2013)
Astolfi A, 2013, The path of control, EUROPEAN JOURNAL OF CONTROL, Vol: 19, Pages: 340-340, ISSN: 0947-3580
Astolfi A, Longhi S, Tornambe A, 2013, Special issue on "periodic systems and robust control' dedicated to Osvaldo Maria Grasselli, INTERNATIONAL JOURNAL OF CONTROL, Vol: 86, Pages: 1201-1206, ISSN: 0020-7179
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