% This file was created with JabRef 2.7b. % Encoding: UTF-8 @PHDTHESIS{Bolognani_2011_PhdThesis, author = {Bolognani, Saverio}, title = {Methods and applications in networked control and Feedback control design for quantum systems}, school = {Universit{\`a} degli Studi di Padova}, year = {2011}, type = {Ph.D. Thesis}, owner = {sbologna}, timestamp = {2011.06.16} } @PHDTHESIS{Bolognani_2007_OutputFeedbackAdaptive, author = {Bolognani, Saverio}, title = {Output feedback adaptive control of distributed parameter systems}, school = {Universit{\`a} degli Studi di Padova}, year = {2007}, type = {Master's thesis}, abstract = {The problem of output feedback stabilization of complex-valued reaction-advection-diffusion systems with parametric uncertainties is presented in this thesis. Both sensing and actuation are performed at the boundary of the PDE domain and the unknown parameters are allowed to be spatially varying. The main tools that are part of the design are the backstepping method and the parameter identification through swapping filters and gradient estimation algorithm. The control kernel that has to be computed online is the solution of a complex–valued integral equation. The solution of the closed-loop system is shown to be bounded and asymptotically stable around the zero equilibrium. The results are illustrated by simulations.}, owner = {saverio}, timestamp = {2008.05.20} } @PHDTHESIS{Bolognani_2005_TeoriaDelControllo, author = {Bolognani, Saverio}, title = {Teoria del controllo predittivo}, school = {Universit{\`a} degli Studi di Padova}, year = {2005}, type = {Bachelor's thesis}, owner = {saverio}, timestamp = {2008.05.20} } @ARTICLE{Bolognani_2009_DesignAndImplementation, author = {Bolognani, Saverio and Bolognani, Silverio and Peretti, Luca and Zigliotto, Mauro}, title = {Design and implementation of model predictive control for electrical motor drives}, journal = {{IEEE} Transactions on Industrial Electronics}, year = {2009}, volume = {56}, pages = {1925-1936}, number = {6}, month = jun, abstract = {The paper deals with a Model Predictive Control (MPC) algorithm applied to electrical drives. The main contribution is a comprehensive and detailed description of the controller design process that points out the most critical aspects and gives also some practical hints for implementation. As an example, the MPC is developed for a permanent magnet synchronous motor drive. Speed and current controllers are combined together, including all of the state variables of the system, instead of keeping the conventional cascade structure. This way the controller enforces both the current and the voltage limits. Both simulation and experimental results point out the validity of the design procedure and the potentials of the MPC in the electrical drives field.}, doi = {10.1109/TIE.2008.2007547} } @INPROCEEDINGS{Bolognani_2008_CombinedSpeedAnd, author = {Bolognani, Saverio and Bolognani, Silverio and Peretti, Luca and Zigliotto, Mauro}, title = {Combined speed and current model predictive control with inherent field-weakening features for {PMSM} drives}, booktitle = {Proc. {IEEE} {MELECON'08}}, year = {2008}, pages = {472-478}, address = {Ajaccio, France}, abstract = {The paper deals with the Model Predictive Control (MPC) algorithm applied to control a permanent magnet synchronous motor, which is, at present, among the motors with the highest power efficiency and then very attractive for energy–saving applications. Absolute novelty of the proposed MPC is its feature of inherently managing the flux weakening control above base speed. Speed and current controller are combined together, including all the state variables of the system, instead of keeping the conventional cascade structure. This way it is possible to enforce in the controller the current and voltage limits. Simulation and experimental results point out the validity of the design procedure and the powerful capabilities of the MPC in the electrical drives field.}, doi = {10.1109/MELCON.2008.4618480} } @INPROCEEDINGS{Bolognani_2009_PIConsensusController, author = {Bolognani, Saverio and Carli, Ruggero and Zampieri, Sandro}, title = {A {PI} consensus controller with gossip communication for clock synchronization in wireless sensors networks}, booktitle = {Proc. {NECSYS'09}}, year = {2009}, address = {Venice, Italy}, abstract = {In this paper a distributed clock synchronization algorithm is proposed. The algorithm requires gossip asynchronous communication between the nodes of the network, and because of its proportional-integral (PI) structure it is able to compensate both initial offsets and different clock speeds. Convergence of the algorithm is proved and analysed with respect to the controller parameter, while scalability issues are addressed by simulations.}, doi = {10.3182/20090924-3-IT-4005.00014}, keywords = {consensus, randomized algorithms, gossip algorithms, clock synchronization}, owner = {saverio}, timestamp = {2009.06.11} } @INPROCEEDINGS{Bolognani_2011_lineardynamicmodel, author = {Bolognani, Saverio and Cavraro, Guido and Cerruti, Federico and Costabeber, Alessandro}, title = {A linear dynamic model for microgrid voltages in presence of distributed generation}, booktitle = {First International Workshop on Smart Grid Modeling and Simulation (at SmartGridComm 2011)}, year = {2011}, address = {Brussels, Belgium}, month = oct, doi = {10.1109/SGMS.2011.6089023}, owner = {sbologna}, timestamp = {2011.09.09} } @ARTICLE{Bolognani_2010_ConsensusbasedDistributedSensor, author = {Bolognani, Saverio and {Del Favero}, Simone and Schenato, Luca and Varagnolo, Damiano}, title = {Consensus-based distributed sensor calibration and least-square parameter estimation in {WSNs}}, journal = {International Journal of Robust and Nonlinear Control}, year = {2010}, volume = {20}, pages = {176-193}, number = {2}, month = jan, abstract = {In this paper we study the problem of estimating the channel parameters for a generic wireless sensor network (WSN) in a completely distributed manner, using consensus algorithms. Specifically, we first propose a distributed strategy to minimize the effects of unknown constant offsets in the reading of the radio strength signal indicator due to uncalibrated sensors. Then we show how the computation of the optimal wireless channels parameters, which are the solution of a global least-square optimization problem, can be obtained with a consensus-based algorithm. The proposed algorithms are general algorithms for sensor calibration and distributed least-square parameter identification, and do not require any knowledge either on the global topology of the network nor the total number of nodes. Finally, we apply these algorithms to experimental data collected from an indoor WSN.}, doi = {10.1002/rnc.1452}, keywords = {distributed computing, sensor calibration, least-square estimation, parameter identification, consensus, wireless sensor networks}, owner = {saverio}, timestamp = {2008.05.20} } @INPROCEEDINGS{Bolognani_2008_DistributedSensorCalibration, author = {Bolognani, Saverio and {Del Favero}, Simone and Schenato, Luca and Varagnolo, Damiano}, title = {Distributed sensor calibration and least-square parameter identification in {WSNs} using consensus algorithms}, booktitle = {Proc. 46th Annual Allerton Conference on Communication, Control, and Computing}, year = {2008}, address = {Monticello, IL}, abstract = {In this paper we study the problem of estimating the channel parameters for a generic wireless sensor network (WSN) in a completely distributed manner, using consensus algorithms. Specifically, we first propose a distributed strategy to minimize the effects of unknown constant offsets in the reading of the radio strength signal indicator due to uncalibrated sensors. Then we show how the computation of the optimal wireless channels parameters, which are the solution of a global least-square optimization problem, can be obtained with a consensus-based algorithm. The proposed algorithms are general algorithms for sensor calibration and distributed least-square parameter identification, and do not require any knowledge either on the global topology of the network nor the total number of nodes. Finally, we apply these algorithms to experimental data collected from an indoor WSN.}, doi = {10.1109/ALLERTON.2008.4797695}, keywords = {distributed computing, sensor calibration, least-square estimation, parameter identification, consensus, wireless sensor networks}, owner = {sbologna}, timestamp = {2008.12.16} } @INPROCEEDINGS{Bolognani_2008_AdaptiveOutputFeedback, author = {Bolognani, Saverio and Smyshlyaev, Andrey and Krsti{\`c}, Miroslav}, title = {Adaptive output feedback control for complex-valued reaction-advection-diffusion systems}, booktitle = {Proc. American Control Conference ({ACC}'08)}, year = {2008}, pages = {961-966}, address = {Seattle, WA}, abstract = {We study a problem of output feedback stabilization of complex-valued reaction-advection-diffusion systems with parametric uncertainties (these systems can also be viewed as coupled parabolic PDEs). Both sensing and actuation are performed at the boundary of the PDE domain and the unknown parameters are allowed to be spatially varying. First, we transform the original system into the form where unknown functional parameters multiply the output, which can be viewed as a PDE analog of observer canonical form. Input and output filters are then introduced to convert a dynamic parametrization of the problem into a static parametrization where a gradient estimation algorithm is used. The control gain is obtained by solving a simple complex-valued integral equation online. The solution of the closed-loop system is shown to be bounded and asymptotically stable around the zero equilibrium. The results are illustrated by simulations.}, doi = {10.1109/ACC.2008.4586616} } @ARTICLE{Bolognani_2010_Engineeringstablediscrete-time, author = {Bolognani, Saverio and Ticozzi, Francesco}, title = {Engineering stable discrete-time quantum dynamics via a canonical {QR} decomposition}, journal = {{IEEE} Transactions on Automatic Control}, year = {2010}, volume = {55}, pages = {2721-2734}, number = {12}, month = dec, abstract = {We analyze the asymptotic behavior of discrete-time, Markovian quantum systems with respect to a subspace of interest. Global asymptotic stability of subspaces is relevant to quantum information processing, in particular for initializing the system in pure states or subspace codes. We provide a linear-algebraic characterization of the dynamical properties leading to invariance and attractivity of a given quantum subspace. We then construct a design algorithm for discrete-time feedback control that allows to stabilize a target subspace, proving that if the control problem is feasible, then the algorithm returns an effective control choice. In order to prove this result, a canonical QR matrix decomposition is derived, and also used to establish the control scheme potential for the simulation of open-system dynamics.}, doi = {10.1109/TAC.2010.2049291}, owner = {sbologna}, timestamp = {2009.08.26}, url = {http://arxiv.org/abs/0908.2078} } @INPROCEEDINGS{Bolognani_2010_PureStateStabilization, author = {Bolognani, Saverio and Ticozzi, Francesco}, title = {Pure state stabilization with discrete-time quantum feedback}, booktitle = {Proc. 4th International Symposium on Communications, Control and Signal Processing ({ISCCSP}'10)}, year = {2010}, address = {Limassol, Cyprus}, month = mar, abstract = {Global asymptotic stabilization of quantum pure states is relevant to chemical process control, quantum cooling, state purification, and is crucial to the initialization of quantum information processing algorithms. We provide a linear-algebraic characterization of discrete-time Markovian dynamics leading to invariance and attractivity of a given quantum state. Assuming that the system is unitarily controllable, and accessible via a given quantum measurement, we provide a condition that that characterize the stabilizable target states. We also argue that if the control problem is feasible, then an effective control choice can be explicitly constructed. The result strongly relies on some remarlable properties of a canonical QR decomposition for complex matrices.}, doi = {10.1109/ISCCSP.2010.5463436}, keywords = {quantum control, QR decomposition, invariance principle, quantum information}, owner = {saverio}, timestamp = {2010.02.15} } @INPROCEEDINGS{Bolognani_2011_Distributedcontroloptimal, author = {Bolognani, Saverio and Zampieri, Sandro}, title = {Distributed control for optimal reactive power compensation in smart microgrids}, booktitle = {Proc. 50th Control and Decision Conference and European Control Conference ({CDC-ECC}'11)}, year = {2011}, address = {Orlando, FL}, month = dec, abstract = {We consider the problem of optimal reactive power compensation for the minimization of power distribution losses in a smart microgrid. We first propose an approximate model for the power distribution network, which allows us to cast the problem into the class of convex quadratic, linearly constrained, optimization problems. We also show how this model provides the tools for a distributed approach, in which agents have a partial knowledge of the problem parameters and state, and can only perform local measurements. Then, we design a randomized, gossip-like optimization algorithm, providing conditions for convergence together with an analytical characterization of the convergence speed. The analysis shows that the best performance can be achieved when we command cooperation among agents that are neighbors in the smart microgrid topology. Numerical simulations are included to validate the proposed model and to confirm the analytical results about the performance of the proposed algorithm.}, doi = {10.1109/CDC.2011.6161337}, owner = {sbologna}, timestamp = {2011.06.14} } @INPROCEEDINGS{Bolognani_2011_GossiplikeDistributedOptimization, author = {Bolognani, Saverio and Zampieri, Sandro}, title = {A gossip-like distributed optimization algorithm for reactive power flow control}, booktitle = {Proc. {IFAC World Congress 2011}}, year = {2011}, address = {Milano, Italy}, month = aug, abstract = {We considered the problem of minimizing reactive power flows in a smart microgrid. First we modeled this problem as a linearly constrained quadratic optimization, in which the decision variables are the amount of reactive power that compensators inject into the network. Then, we designed a distributed algorithm in which agents are clustered into overlapping subsets, according to a given communication graph that allows them to coordinate and to exchange information. At each time, one subset is triggered, and agents belonging to it update their states in order to minimize the reactive power flows on the grid. We showed that, by sensing the network at their points of connection, agents can perform this minimization with just the data that they can gather from the other agents belonging to the subset. We characterized convergence of this algorithm in term of conditions on the subsets and on the randomized triggering sequence. Moreover, we studied the rate of convergence, obtaining also a convenient upper bound. We finally analyzed the rate of convergence for some specific topologies of the grid and for some choices of the agents communication topologies.}, doi = {10.3182/20110828-6-IT-1002.03256}, keywords = {Distributed optimization, gossip, reactive power compensation, smart microgrids}, owner = {sbologna}, timestamp = {2010.12.17} } @INPROCEEDINGS{Bolognani_2010_DistributedQuasiNewtonMethod, author = {Bolognani, Saverio and Zampieri, Sandro}, title = {Distributed quasi-{N}ewton method and its application to the optimal reactive power flow problem}, booktitle = {Proc. {NECSYS'10}}, year = {2010}, address = {Annecy, France}, month = sep, abstract = {We consider a distributed system of N agents, on which we define a quadratic optimization problem subject to a linear equality constraint. We assume that the nodes can estimate the gradient of the cost function by measuring the steady state response of the system. Even if the cost function cannot be decoupled into individual terms for the agents, and the linear constraint involves the whole system state, we are able to design a distributed, gradient-driven, algorithm, for the solution of the optimization problem. This algorithm belongs to the class of quasi-Newton methods and requires minimal knowledge of the system to behave fairly well. We proved finite time convergence of the algorithm in its centralized version, and we designed its distributed implementation in the case in which a communication graph is given. In this latter case, the tool of average consensus results to be fundamental for the distribution of the algorithm. As a testbed for the proposed method, we consider the problem of optimal distributed reactive power compensation in smart microgrids.}, doi = {10.3182/20100913-2-FR-4014.00063}, keywords = {Distributed optimization, quasi-Newton method, consensus, reactive power compensation, smart microgrids}, owner = {sbologna}, timestamp = {2010.06.23} } @INPROCEEDINGS{Ticozzi_2010_canonicalQRdecomposition, author = {Ticozzi, Francesco and Bolognani, Saverio}, title = {On a canonical {QR} decomposition and feedback control of discrete-time quantum dynamics}, booktitle = {Proc. 19th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2010)}, year = {2010}, address = {Budapest, Hungary}, month = jul, owner = {sbologna}, timestamp = {2010.05.10} } @comment{jabref-meta: groupsversion:3;} @comment{jabref-meta: groupstree: 0 AllEntriesGroup:; 1 ExplicitGroup:Model Predictive Control\;0\;Bolognani_2005_TeoriaDelC ontrollo\;Bolognani_2008_CombinedSpeedAnd\;Bolognani_2009_DesignAndImp lementation\;; 1 ExplicitGroup:Distributed Parameter Systems\;0\;Bolognani_2007_Outpu tFeedbackAdaptive\;Bolognani_2008_AdaptiveOutputFeedback\;; 1 ExplicitGroup:Distributed Control and Estimation\;0\;Bolognani_2008_ DistributedSensorCalibration\;Bolognani_2009_PIConsensusController\;Bo lognani_2010_ConsensusbasedDistributedSensor\;; 1 ExplicitGroup:Quantum Control\;0\;Bolognani_2010_Engineeringstabledi screte-time\;Bolognani_2010_PureStateStabilization\;; }