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  • Conference paper
    Mylvaganam T, Sassano M, Astolfi A, 2012,

    Approximate Solutions to a Class of Nonlinear Differential Games

    , 51st IEEE Annual Conference on Decision and Control (CDC), Publisher: IEEE, Pages: 6489-6494, ISSN: 0743-1546
  • Conference paper
    Sassano M, Astolfi A, 2012,

    Dynamic Generalized Controllability and Observability Functions with Applications to Model Reduction

    , 51st IEEE Annual Conference on Decision and Control (CDC), Publisher: IEEE, Pages: 1609-1614, ISSN: 0743-1546
  • Conference paper
    Chang H, Moog CH, Astolfi A, 2012,

    A Control Systems Approach to HIV Prevention with Impulsive Control Input

    , 51st IEEE Annual Conference on Decision and Control (CDC), Publisher: IEEE, Pages: 4912-4917, ISSN: 0743-1546
  • Conference paper
    Angeli D, Sontag ED, 2012,

    Remarks on the invalidation of biological models using monotone systems theory

    , 51st IEEE Annual Conference on Decision and Control (CDC), Publisher: IEEE, Pages: 2989-2994, ISSN: 0743-1546
  • Conference paper
    Boem F, Xu Y, Fischione C, Parisini Tet al., 2012,

    A Distributed Estimation Method for Sensor Networks Based on Pareto Optimization

    , 51st IEEE Annual Conference on Decision and Control (CDC), Publisher: IEEE, Pages: 775-781, ISSN: 0743-1546
  • Journal article
    Rawlings JB, Angeli D, Bates CN, 2012,

    Fundamentals of Economic Model Predictive Control

    , 2012 IEEE 51ST ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), Pages: 3851-3861, ISSN: 0743-1546
  • Journal article
    Chaillet A, Angeli D, Ito H, 2012,

    Strong iISS: combination of iISS and ISS with respect to small inputs

    , 2012 IEEE 51ST ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), Pages: 2256-2261, ISSN: 0743-1546
  • Conference paper
    Gan CK, Low SY, Pudjianto D, Strbac Get al., 2012,

    Techno-economic appraisal of alternative distribution network design options

    , IEEE International Conference on Power and Energy (PECon), Publisher: IEEE, Pages: 829-833
  • Conference paper
    Ortega R, Espinosa-Perez G, Astolfi A, 2012,

    Theory for the User and Application Examples of the Passivity-based Control for AC Electric Machines

    , 21st IEEE International Symposium on Industrial Electronics (ISIE), Publisher: IEEE, Pages: 758-763, ISSN: 2163-5137
  • Conference paper
    Chattopadhyay SK, Chakraborty C, Pal BC, 2012,

    A Hybrid Multilevel Inverter Topology with Third Harmonic Injection for Grid Connected Photovoltaic Central Inverters

    , 21st IEEE International Symposium on Industrial Electronics (ISIE), Publisher: IEEE, Pages: 1736-1741, ISSN: 2163-5137
  • Conference paper
    Wee T-C, Astolfi A, Xie M, 2012,

    MODULAR-JOINT DESIGN FOR EFFICIENT WALKING AND MODELING OF A BIPEDAL ROBOT TPINOKIO

    , 14th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines (CLAWAR 2011), Publisher: WORLD SCIENTIFIC PUBL CO PTE LTD, Pages: 499-506
  • Conference paper
    Casagrande D, Astolfi A, Ortega R, Langarica Det al., 2012,

    A Solution to the Problem of Transient Stability of Multimachine Power Systems

    , 51st IEEE Annual Conference on Decision and Control (CDC), Publisher: IEEE, Pages: 1703-1708, ISSN: 0743-1546
  • Conference paper
    Chattopadhyay SK, Chakraborty C, Pal BC, 2012,

    Cascaded H-Bridge & Neutral Point Clamped Hybrid Asymmetric Multilevel Inverter Topology for Grid Interactive Transformerless Photovoltaic Power Plant

    , 38th Annual Conference on IEEE-Industrial-Electronics-Society (IECON ), Publisher: IEEE, Pages: 5074-5079, ISSN: 1553-572X
  • Book chapter
    Mitcheson PD, 2012,

    Power and Sustainability

    , This Pervasive Day, Editors: Pitt, Publisher: World Scientific, Pages: 241-260, ISBN: 978-1-84816-748-3
  • Journal article
    Ferrari RMG, Parisini T, Polycarpou MM, 2012,

    Distributed Fault Detection and Isolation of Large-Scale Discrete-Time Nonlinear Systems: An Adaptive Approximation Approach

    , IEEE Transactions on Automatic Control, Pages: 275-290
  • Journal article
    Mitcheson PD, Green TC, 2012,

    Maximum Effectiveness of Electrostatic Energy Harvesters When Coupled to Interface Circuits

    , IEEE Transactions on Circuits and Systems Part 1: Regular Papers, Vol: 59, Pages: 3098-3111, ISSN: 1549-8328
  • Journal article
    Mukherjee AG, Mitcheson PD, Wright SW, Yeatman EMet al., 2012,

    Tuning of vibration energy harvesters using variable reluctance links

    , Journal of Micromechanics and Microengineering
  • Journal article
    Miller LM, Mitcheson PD, Halvorsen E, Wright PKet al., 2012,

    Coulomb-damped resonant generators using piezoelectric transduction

    , Applied Physics Letters, Vol: 100, ISSN: 0003-6951
  • Journal article
    Banaji M, Angeli D, 2012,

    CONVERGENCE IN STRONGLY MONOTONE SYSTEMS WITH AN INCREASING FIRST INTEGRAL (vol 42, pg 334, 2010)

    , SIAM JOURNAL ON MATHEMATICAL ANALYSIS, Vol: 44, Pages: 536-537, ISSN: 0036-1410
  • Conference paper
    Elliott ADT, Mitcheson PD, 2012,

    Implementation of a Single Supply Pre-biasing Circuit for Piezoelectric Energy Harvesters

    , Eurosensors 2012, Pages: 1311-1314
  • Journal article
    Angeli D, Amrit R, Rawlings J, 2012,

    On average performance and stability of economic model predictive control

    , IEEE Transactions on Automatic Control

    Control performance and cost optimization can beconflicting goals in the management of industrial processes.Even when optimal or optimization-based control synthesis tools are applied, the economic cost associated with plant operation is often only optimized according to static criteria that pick,among all feasible steady states, those with minimal cost. In mathematical terms an economic cost functional differs from stage costs commonly adopted in MPC as it need not be minimalat its best equilibrium.This note collects and illustrates some recent advances in receding horizon optimization of nonlinear systems that allow the control designer to simultaneously and dynamically optimize transient and steady-state economic performance.In particular, we show that average performance of economic MPC is never worse than the optimal steady-state operation. We introduce a dissipation inequality and supply function that extend previous sufficient conditions for asymptotic stability of economic MPC. Dissipativity is also shown to be a sufficient condition for concluding that steady-state operation is optimal. We show how to modify an economic cost function so that steady-state operation is asymptotically stable when that feature is deemed desirable. Finally, for the case when steady-state operation is not optimal, we develop two modified MPC controllers thatasymptotically guarantee (i) improved performance compared to optimal periodic control and (ii) satisfaction of constraints on average values of states and inputs.
  • Conference paper
    Kerrigan EC, Jerez JL, Longo S, Constantinides GAet al., 2012,

    Number Representation in Predictive Control

    , IFAC Conference on Nonlinear Model Predictive Control 2012 (NMPC'12), Publisher: IFAC

    We will present some of the lessons that we have learnt at Imperial College London while implementing predictive controllers on embedded systems. In particular, we will discusssome of the advantages and issues that arise when one does not use IEEE double-precisionoating-point to solve the resulting optimization problems, as well as some initial suggestions on how to overcome certain problems.
  • Conference paper
    Lee D, Longo S, Kerrigan EC, 2012,

    Predictive Control for Soaring of Unpowered Autonomous UAVs

    , IFAC Conference on Nonlinear Model Predictive Control 2012 (NMPC'12), Publisher: IFAC

    In this paper we propose an energy-harvesting controller design for a 3 degree-of-freedom glider in a nonlinear MPC framework. The glider is simulated within a generic atmospheric updraftenvironment with the aim of extracting the maximum amount of energy from the environment. Wefocus on conceptual feasibility at this stage and we take the realistic assumption that the glider is able to obtain updraft information only along the flight trajectory. The surrounding updraft distribution is then recursively estimated (online) by combining the measurements from the optimal trajectory with a heuristic search, if necessary. A variation of the standard grid search is used such that the grid spacing is altered depending on the updraft information along the glider’s flight path. Results from both standardand adaptive grid search approaches are presented. In abstract terms, this work can be viewed as findingoptimal paths in uncertain vector fields.
  • Conference paper
    Elliott ADT, Mitcheson PD, 2012,

    Power Density Improvement of a Piezoelectric Energy Harveter Using a Micropower Switch-Mode Interface

    , IEEE Sensors 2012, Publisher: IEEE, Pages: 1882-1885
  • Conference paper
    Elliott ADT, Zhu D, Beeby SP, Mitcheson PDet al., 2012,

    Multilayer Piezoelectric Energy Harvesting Using Single Supply Pre-biasing for Maximum Power Generation

    , PowerMEMS 2012
  • Conference paper
    Elliott ADT, Mitcheson PD, 2012,

    Implementation of Single Suply Pre-Biasing with Sub-35μW Control Overhead for Piezoelectric Energy Harvesting

    , PowerMEMS 2012
  • Conference paper
    Kiziroglou ME, Wright SW, Toh TT, Becker T, Mitcheson PD, Yeatman EMet al., 2012,

    Heat Storage Power Supply for Wireless Aircraft Sensors

    , Pages: 472-475
  • Conference paper
    Kaphengst NF, Toh TT, Mitcheson PD, Holmes AS, Wright SW, Yeatman EMet al., 2012,

    Adaptive Load Synthesis for Autonomous Resonant Frequency Tuning of Electromagnetic Energy Harvesters

    , PowerMEMS 2012
  • Conference paper
    Bowden J, Burrow SG, Cammarano A, Mitcheson PDet al., 2012,

    Synthesising Load Impedance to Frequency-Tune an Electro-Mechanical Vibration Energy Energy Harvester

    , ASME 2012 International Design Engineering Technical Conferences
  • Conference paper
    Mukherjee AG, Mitcheson PD, Wright SW, Yeatman EMet al., 2012,

    Magnetic Potential Well Tuning of Resonant Frequency Cantilever Energy Harvesters

    , PowerMEMS 2012

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