conferences2015.bib

@inproceedings{LorGawGol15,
  author = {Loram, I. and Gawthrop, P. and Gollee, H.},
  booktitle = {Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE},
  address = {Milano, Italy},
  month = {August},
  title = {Intermittent control of unstable multivariate systems},
  year = 2015,
  pages = {1436-1439},
  abstract = {A sensorimotor architecture inspired from biological, vertebrate control should (i) explain the interface between high dimensional sensory analysis, low dimensional goals and high dimensional motor mechanisms and (ii) provide both stability and flexibility. Our interest concerns whether single-input-single-output intermittent control (SISO_IC) generalized to multivariable intermittent control (MIC) can meet these requirements.We base MIC on the continuous-time observer-predictorstate-feedback architecture. MIC uses event detection. A system matched hold (SMH), using the underlying continuoustime optimal control design, generates multivariate open-loop control signals between samples of the predicted state. Combined, this serial process provides a single-channel of control with optimised sensor fusion and motor synergies. Quadratic programming provides constrained, optimised equilibrium control design to handle unphysical configurations, redundancy and provides minimum, necessary reduction of open loop instability through optimised joint impedance. In this multivariate form, dimensionality is linked to goals rather than neuromuscular or sensory degrees of freedom. The biological and engineering rationale for intermittent rather than continuous multivariate control, is that the generalised hold sustains open loop predictive control while the open loop interval provides time within the feedback loop for online centralised, state dependent optimisation and selection.},
  keywords = {biological techniques;feedback;multivariable control systems;open loop systems;optimal control;quadratic programming;sensor fusion;somatosensory phenomena;biological control;continuous time optimal control design;continuous-time observer-predictorstate-feedback architecture;event detection;feedback loop;joint impedance;motor synergies;multivariate open-loop control signal;neuromuscular;open loop instability reduction;quadratic programming;sensor fusion;sensorimotor architecture;sensory analysis;single-input-single-output intermittent control;system matched hold;unstable multivariate system intermittent control;vertebrate control;Bandwidth;Feedback loop;Joints;Microwave integrated circuits;Muscles;Optimal control;Process control},
  doi = {10.1109/EMBC.2015.7318639},
  month = {Aug}
}
@inproceedings{GawWanWey15,
  author = {Gawthrop, P. and Liuping Wang and Weyer, E.},
  booktitle = {Control Applications (CCA), 2015 IEEE Conference on},
  title = {Decentralised intermittent control},
  year = 2015,
  pages = {1644-1649},
  month = {September},
  address = {Manly, Australia},
  abstract = {Intermittent control uses open-loop control punctuated with feedback at times determined by error-driven events. The open-loop trajectories are based on an underlying closed-loop strategy and are generated by a system-matched hold. The single-loop event-driven intermittent control method is extended to the multi-loop decentralised control situation. This decentralised intermittent controller is based on an underlying continuous-time decentralised design which is suitable for systems with both input and state interactions. This extension is achieved by using local models of the remote interacting subsystems. These models are used for control signal generation and they are only updated with remote information at discrete event-driven sample times thus reducing information flow. The approach is illustrated using a simulation of a five-pool irrigation channel model previously examined in the literature.},
  keywords = {closed loop systems;control system synthesis;decentralised control;open loop systems;closed-loop strategy;continuous-time decentralised design;control signal generation;decentralised intermittent control;feedback;five-pool irrigation channel model;multiloop decentralised control;open-loop control;open-loop trajectory;single-loop event-driven intermittent control method;Approximation methods;Bismuth;Control systems;Couplings;Integrated circuits;Mathematical model;Observers},
  doi = {10.1109/CCA.2015.7320845},
  month = {Sept}
}

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