@incollection{WanGaw08,
author = {Liuping Wang and Peter J Gawthrop},
title = {Estimation of the Parameters of Continuous-time Systems using
Data Compression},
booktitle = {Identification of continuous-time models from sampled data},
publisher = {Springer},
year = 2008,
editor = {H. Garnier and L.Wang},
chapter = 6,
series = {Advances in Industrial Control},
volume = {XXVI},
pages = {189-214},
isbn = {978-1-84800-160-2},
doi = {10.1007/978-1-84800-161-9_7}
}
@article{GawLakLor08,
author = {P.J. Gawthrop and M.D. Lakie and I.D. Loram},
title = {Predictive Feedback Control and {Fitts'} Law},
journal = {Biological Cybernetics},
year = 2008,
volume = 98,
number = 3,
pages = {229-238},
month = {March},
note = {Published online: 5 January 2008},
doi = {10.1007/s00422-007-0206-9},
abstract = {
Fitts' law is a well established empirical formula, known for
encapsulating the ``speed-accuracy trade-off''. For discrete, manual
movements from a starting location to a target, Fitts' law relates
movement duration to the distance moved and target size. The
widespread empirical success of the formula is suggestive of
underlying principles of human movement control. There have been
previous attempts to relate Fitts' law to engineering-type control
hypotheses and it has been shown that the law is exactly consistent
with the closed-loop step-response of a time-delayed, first-order
system. Assuming only the operation of closed-loop feedback, either
continuous or intermittent, this paper asks whether such feedback
should be predictive or not predictive to be consistent with Fitts
law. Since Fitts' law is equivalent to a time delay separated from a
first-order system, known control theory implies that the controller
must be predictive. A predictive controller moves the time-delay
outside the feedback loop such that the closed- loop response can be
separated into a time delay and rational function whereas a non-
predictive controller retains a state delay within feedback loop
which is not consistent with Fitts' law. Using sufficient
parameters, a high-order non-predictive controller could
approximately reproduce Fitts' law. However, such high-order,
``non-parametric'' controllers are essentially empirical in nature,
without physical meaning, and therefore are conceptually inferior to
the predictive controller. It is a new insight that using
closed-loop feedback, prediction is required to physically explain
Fitts' law. The implication is that prediction is an inherent part of
the ``speed-accuracy trade-off''.
}
}
@inproceedings{GawWan08,
author = {Peter J Gawthrop and Liuping Wang },
title = {Towards Model-based Continuous-time Identification of the Human Balance Controller},
booktitle = {Proceedings of the 17th IFAC World Congress},
year = 2008,
address = {Seoul, Korea},
month = {July},
abstract = {
There are a number of competing scientific hypotheses about the structure and parameters
of the human control system concerned with balance. System identification techniques have potential
to distinguish between such competing hypotheses. As a step towards this goal, the data from an initial
series of experiments involving balancing an inverted pendulum by a human via a joystick was analysed
using a recently-developed two-stage continuous-time identification method.
}
}
@inproceedings{WanGaw08a,
author = {Liuping Wang and Peter J Gawthrop},
title = {Disturbance Rejection and Set-point Following of
Periodic Signals Using Predictive Control with Constraints},
booktitle = {Proceedings of the 17th IFAC World Congress},
year = 2008,
address = {Seoul, Korea},
month = {July},
abstract = {
This paper proposes a continuous-time model predictive control design for disturbance
rejection and set-point following of periodic signals. By assuming input disturbance in the form of
sinusoid, the periodic frequency is embedded into the design model. Hence, from internal model
principle, the steady-state error of the model predictive control system is ensured to be zero for
both disturbance rejection and set-point following. Furthermore, with the design framework of model
predictive control, hard constraints on the derivative and amplitude of the control signals are imposed
as part of the performance specification. Simulation studies have been used to show the efficacy of the
design with or without hard constraints.
}
}
@inproceedings{GawBhiMoh08,
author = {P. J. Gawthrop and B. Bhikkaji and S. O. R. Moheimani},
title = {Physical-Model-Based Control of a Piezoelectric Tube Scanner},
booktitle = {Proceedings of the 17th IFAC World Congress},
year = 2008,
address = {Seoul, Korea},
month = {July},
abstract = {
A piezoelectric tube is shown to have linear, but non-minimum phase dynamics. The
main impediment to the actuation of this piezoelectric tube is the presence of a low-frequency
resonant mode which causes mechanical vibrations. A physical-model-based control method
is extended to non-minimum phase systems in general and successfully applied to damp the
resonant mode; leading to a vibration-free actuation of the piezoelectric tube.
}
}
@article{GawNeiGonWag08,
author = {P.J. Gawthrop and S.A. Neild and A. Gonzalez-Buelga and D.J. Wagg},
title = {Causality in real-time dynamic substructure testing},
journal = {Mechatronics},
year = 2010,
volume = 19,
number = 7,
pages = {1105--1115},
month = {October},
note = {Available online 16 April 2008},
abstract = { Causality, in the bond graph sense, is shown to provide
a conceptual framework for the design of real-time
dynamic substructure testing experiments. In
particular, known stability problems with
split-inertia substructured systems are
reinterpreted as causality issues within the new
conceptual framework. As an example, causality
analysis is used to provide a practical solution to
a split-inertia substructuring problem and the
solution is experimentally verified.},
doi = {10.1016/j.mechatronics.2008.02.005}
}
@incollection{WagNeiGaw08,
author = {David Wagg and Simon Neild and Peter Gawthrop},
title = {Real-time testing with dynamic substructuring},
booktitle = {Modern testing techniques for structural systems},
publisher = {Springer},
year = 2008,
editor = {Oreste S. Bursi and David Wagg},
chapter = 7,
series = {CISM Courses and Lectures},
volume = 502,
pages = {293--342},
isbn = {978-3-211-09444-0}
}
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