@article{Gaw99a,
author = {P. J. Gawthrop},
cscauthor = {pjg},
title = {Thermal Modelling using Mixed Energy and Pseudo Bond Graphs},
journal = {Proceedings of the Institution of Mechanical Engineers Part I:
Journal of Systems and Control Engineering},
year = 1999,
volume = 213,
number = 3,
month = {June},
pages = {201--216},
abstract = {Pseudo and true Bond Graphs have been seen as competing
approaches to modelling thermodynamic systems. This paper provides a
simple mechanism for mixing the two approaches to obtain the best
features of each. In so doing, an alternative and more accessible
approach to thermodynamic modelling than that provided by classical
texts is given.},
pdf = {../../Publications/csc1999/Gaw99a.pdf},
doi = {10.1243/0959651991540089}
}
@article{RonArsGaw99,
class = {Intermittent},
author = {E. Ronco and T. Arsan and P. J. Gawthrop},
cscauthor = {pjg},
title = {Open-Loop Intermittent Feedback Control: Practical
Continuous-time {GPC}},
journal = {IEE Proceedings Part~D: Control Theory and Applications},
month = {September},
volume = 146,
number = 5,
pages = {426--434},
year = 1999,
abstract = {A conceptual, and practical difficulty with the
continuous-time generalised predictive controller is solved
by replacing the continuously moving horizon by an
intermittently moving horizon. This allows slow optimisation
to occur concurrently with a fast control action. Some
nonlinear simulations illustrate the potential of this
approach.},
doi = {10.1049/ip-cta:19990504}
}
@article{CheBalGaw99e,
author = {W.-H. Chen and D. J. Ballance and P. J. Gawthrop and J. J.
Gribble and J. O'Reilly},
cscauthor = {wc,djb,pjg,jjg,jor},
title = {Nonlinear {PID} Predictive Controller},
year = 1999,
journal = {IEE Proceedings Part~D: Control Theory and Applications},
volume = 146,
number = 6,
month = {November},
pages = {603--611},
abstract = {A new class of nonlinear PID controllers are derived for
nonlinear systems using a nonlinear generalised predictive
control (NGPC) approach. First, the disturbance decoupling
ability of the NGPC is discussed. For a nonlinear system
where the disturbance cannot be decoupled, a nonlinear
observer is designed to estimate the offset. By selecting
the nonlinear gain function in the observer, it is shown
that the closed-loop system under optimal generalised
predictive control with the nonlinear observer is
asymptotically stable. It is pointed out that this composite
controller is equivalent to a nonlinear controller with
integral action. As a special case, for a nonlinear system
with a low relative degree, the proposed nonlinear
controller reduces to a nonlinear PI or PID predictive
controller, which consists of a nonlinear PI or PID
controller and a prediction controller. The design method is
illustrated by an example nonlinear mechanical system},
pdf = {../../Publications/csc1999/CheBalGaw99e.pdf}
}
@article{NgwGaw99,
author = {Roger F Ngwompo and Peter J Gawthrop},
cscauthor = {pjg},
title = {Bond Graph Based Simulation of Nonlinear Inverse Systems
Using Physical Performance Specifications},
journal = {Journal of the Franklin Institute},
year = 1999,
month = {November},
volume = 336,
number = 8,
pages = {1225--1247},
abstract = {Analysis and simulation of non-linear inverse systems
are sometimes necessary in the design of control systems particularly
when trying to determine an input control required to achieve some
predefined output specifications. But unlike physical systems which
are proper, the inverse systems are very often improper leading to
numerical problems in simulation as their models sometimes have a high
index when written in the form of differential-algebraic equations
(DAE). This paper provides an alternative approach whereby performance
specifications and the physical system are combined within a single
bond graph leading to a greatly simplified simulation problem.},
pdf = {../../Publications/csc1999/NgwGaw99.pdf},
doi = {10.1016/S0016-0032(99)00032-0}
}
@article{RonGaw99,
author = {E. Ronco and P. J. Gawthrop},
cscauthor = {pjg},
title = {Incremental polynomial model-controller network:
A self-organising nonlinear controller},
journal = {IEE Proceedings Part~D: Control Theory and Applications},
month = {November},
volume = 146,
number = 6,
pages = {527--543},
year = 1999,
abstract = {An `incremental polynomial model-controller network'
(IPMCN) is introduced. Smooth control switching is obtained
from the use of odd polynomial controllers. The
decomposition of the operating space, together with the
construction of the network, is achieved on-line while
controlling the system. The performance and robustness of
this scheme are illustrated through various simulations. },
pdf = {../../Publications/csc1999/RonGaw99.pdf}
}
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