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  • Conference paper
    Talasila V, Clemente-Gallardo J, Astolfi A, 2007,

    Normally Hyperbolic Controlled-Invariant Manifolds
  • Journal article
    Halikias G D, Jaimoukha I M, Malik U, Gungah S Ket al., 2007,

    New bounds on the unconstrained quadratic integer programming problem

    , Journal of Global Optimization (Online First)
  • Software
    Gandu KR, Mitcheson PD, Green TC, 2007,

    ICES - Imperial Energy harvesting Simulator
  • Conference paper
    Orukpe PE, Jaimoukha IM, El-Zobaidi HMH, 2007,

    Model Predictive Control based on Mixed H2/Hinfinity Control Approach

    , Pages: 6147-6150
  • Journal article
    Angeli D, Mosca E, Manuelli C, 2007,

    Data-based supervisory control of uncertain systems with application to automatic drug delivery for anesthesia

    , Automatica, Vol: 43, Pages: 1289-1295, ISSN: 0005-1098
  • Journal article
    Green TC, Prodanovic M, 2007,

    Control of inverter-based micro-grids

    , ELECTRIC POWER SYSTEMS RESEARCH, Vol: 77, Pages: 1204-1213, ISSN: 0378-7796
  • Conference paper
    Karagiannis D, Astolfi A, 2007,

    Nonlinear adaptive flight control of autonomous aircraft

    , Pages: 571-576
  • Conference paper
    Kiskiras J, Halikias GD, Jaimoukha IM, 2007,

    Robust stabilization of multivariable systems under co-prime factor perturbations: Directionality and Super-optimisation

    , Pages: 1398-1405
  • Journal article
    Lewis FL, Huang J, Parisini T, Prokhorov DV, Wunsch DCet al., 2007,

    Special issue on neural networks for feedback control systems.

    , IEEE Trans Neural Netw, Vol: 18, Pages: 969-972, ISSN: 1045-9227
  • Journal article
    Papadimitropoulos A, Rovithakis GA, Parisini T, 2007,

    Fault detection in mechanical systems with friction phenomena: An online neural approximation approach

    , IEEE TRANSACTIONS ON NEURAL NETWORKS, Vol: 18, Pages: 1067-1082, ISSN: 1045-9227
  • Journal article
    Scardovi L, Baglietto M, Parisini T, 2007,

    Active state estimation for nonlinear systems: A neural approximation approach

    , IEEE TRANSACTIONS ON NEURAL NETWORKS, Vol: 18, Pages: 1172-1184, ISSN: 1045-9227
  • Journal article
    Lewis FL, Huang J, Parisini T, Prokhorov DV, Wunsch DCet al., 2007,

    Guest editorial special issue on neural networks for feedback control systems

    , IEEE TRANSACTIONS ON NEURAL NETWORKS, Vol: 18, Pages: 969-972, ISSN: 1045-9227
  • Journal article
    Cagienard R, Grieder P, Kerrigan E C, Morari Met al., 2007,

    Move blocking strategies in receding horizon control

    , Journal of Process Control, Vol: 17, Pages: 563-570
  • Conference paper
    Li ZH, Zolotas A, Jaimoukha IM, Grigoriadis KM, Michail K, Pearson JTet al., 2007,

    Output Selection Under Control and Fault Detectability Considerations

    , 15th Mediterranean Conference on Control & Automation, MED07, Pages: T19-029
  • Journal article
    Strbac G, Shakoor A A, Black M, Pudjianto D, Bopp Tet al., 2007,

    Impact of wind generation on the operation and development of the UK electricity systems

    , Electric Power Systems Research, Vol: 77, Pages: 1214-1227
  • Journal article
    Lopes JAP, Hatziargyriou N, Mutale J, Djapic P, Jenkins Net al., 2007,

    Integrating distributed generation into electric power systems: A review of drivers, challenges and opportunities

    , ELECTRIC POWER SYSTEMS RESEARCH, Vol: 77, Pages: 1189-1203, ISSN: 0378-7796
  • Journal article
    Mitcheson P D, Green T C, Yeatman E M, 2007,

    Power Processing Circuits For Electromagnetic, Electrostatic And Piezoelectric Inertial Energy Scavengers

    , Microsystems Technologies, Vol: 13, Pages: 1629-1635, ISSN: 0946-7076
  • Conference paper
    Back J, Astolfi A, 2007,

    Positive Linear Observer Design via Positive Realization

    , Pages: 5682-5687
  • Conference paper
    Pudjianto D, Strbac G, Mutale J, 2007,

    Access and Pricing of Distribution Network with Distributed Generation

    , IEEE Power Engineering Society General Meeting, Pages: 1-3
  • Conference paper
    Tan C W, Green T C, Hernandez-Aramburo C A, 2007,

    A Stochastic Simulation of Battery Sizing for Demand Shifting and Uninterruptible Power Supply Facility.

    , Pages: 2607-2613
  • Journal article
    Necoara I, Kerrigan E C, De Schutter B, Van Den Boom, T J Jet al., 2007,

    Finite-horizon min-max control of max-plus-linear systems

    , IEEE Transactions on Automatic Control, Vol: 52, Pages: 1088-1093
  • Conference paper
    Pudjianto D, Castro MJ, Djapic P, Stojkovska B, Strbac G, Allan Ret al., 2007,

    Transmission Investment and Pricing in Systems with Significant Penetration of Wind Generation

    , IEEE Power Engineering Society General Meeting, Pages: 1-3
  • Journal article
    Viola G, Ortega R, Banavar R, Acosta J A, Astolfi Aet al., 2007,

    Total Energy Shaping Control of Mechanical Systems: Simplifying the Matching Equations Via Coordinate Changes

    , IEEE Trans. Automatic Control, Vol: 52, Pages: 1093-1099
  • Journal article
    Goulart PJ, Kerrigan EC, Ralph D, 2007,

    Efficient Robust Optimization for Robust Control with Constraints.

    , Mathematical Programming, Vol: 114, Pages: 115-147, ISSN: 1436-4646

    This paper proposes an efficient computational technique for theoptimal control of linear discrete-time systems subject to bounded disturbanceswith mixed linear constraints on the states and inputs. The problem of computingan optimal state feedback control policy, given the current state, is non-convex.A recent breakthrough has been the application of robust optimizationtechniques to reparameterize this problem as a convex program. While thereparameterized problem is theoretically tractable, the number of variables isquadratic in the number of stages or horizon length N and has no apparentexploitable structure, leading to computational time of O(N6) per iteration ofan interior-point method. We focus on the case when the disturbance set is ∞-norm bounded or the linear map of a hypercube, and the cost function involvesthe minimization of a quadratic cost. Here we make use of state variables toregain a sparse problem structure that is related to the structure of the originalproblem, that is, the policy optimization problem may be decomposed into aset of coupled finite horizon control problems. This decomposition can then be formulated as a highly structured quadratic program, solvable by primaldualinterior-point methods in which each iteration requires O(N3) time. Thiscubic iteration time can be guaranteed using a Riccati-based block factorizationtechnique, which is standard in discrete-time optimal control. Numerical resultsare presented, using a standard sparse primal-dual interior point solver, thatillustrate the efficiency of this approach.
  • Journal article
    Rakovic S V, Kerrigan E C, Kouramas K I, Mayne D Qet al., 2007,

    Optimized robust control invariance for linear discrete-time systems: Theoretical foundations

    , Automatica, Vol: 43, Pages: 831-841
  • Conference paper
    Brucoli M, Green TC, 2007,

    Fault behaviour in islanded microgrids

    , 19th International Conference on Electricity Distribution CIRED
  • Conference paper
    Silva N F, Strbac G, 2007,

    Startegic investment in distribution networks with high penetration of small scale distributed energy resources
  • Conference paper
    Pais da Silva A M, Mohammadu Kairudeen M S, Dragovic J, Djapic P, Strbac G, Allan Ret al., 2007,

    Reliability Evaluation of Distribution Networks and Performance Comparison using Representative Networks
  • Conference paper
    Tan C W, Green T C, Hernandez-Aramburo C A, 2007,

    Comparative Study of Perturbation Step-Size for Perturb and Observe Maximum Power Point Tracking Algorithm

    , Pages: 79-84
  • Journal article
    Rakovic S V, Kerrigan E C, Kouramas K I, Mayne D Qet al., 2007,

    Optimized robust control invariance for linear discrete-time systems: Theoretical foundations

    , Automatica, Vol: 43, Pages: 831-841

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