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不確かさをもつ非線形システムにおける適応ロバスト制御理論とその環境システムへの応用に関する研究
博甲第30号生命システム科学博士県立広島大
Distributed PI-Control with Applications to Power Systems Frequency Control
This paper considers a distributed PI-controller for networked dynamical
systems. Sufficient conditions for when the controller is able to stabilize a
general linear system and eliminate static control errors are presented. The
proposed controller is applied to frequency control of power transmission
systems. Sufficient stability criteria are derived, and it is shown that the
controller parameters can always be chosen so that the frequencies in the
closed loop converge to nominal operational frequency. We show that the load
sharing property of the generators is maintained, i.e., the input power of the
generators is proportional to a controller parameter. The controller is
evaluated by simulation on the IEEE 30 bus test network, where its
effectiveness is demonstrated
Beyond bilinear controllability : applications to quantum control
Quantum control is traditionally expressed through bilinear models and their
associated Lie algebra controllability criteria. But, the first order
approximation are not always sufficient and higher order developpements are
used in recent works. Motivated by these applications, we give in this paper a
criterion that applies to situations where the evolution operator is expressed
as sum of possibly non-linear real functionals of the control that multiplies
some time independent (coupling) operators
New approach to stochastic optimal control and applications to economics
This paper provides new insights into the solution of optimal stochastic control problems by means of
a system of partial differential equations, which characterize directly the optimal control. This new
system is obtained by the application of the stochastic maximum principle at every initial condition,
assuming that the optimal controls are smooth enough. The type of problems considered are those
where the diffusion coefficient is independent of the control variables, which are supposed to be
interior to the control region. The results obtained are applied to the study of the classical
consumption–savings model
Stability theory applications to laminar-flow control
In order to design Laminar Flow Control (LFC) configurations, reliable methods are needed for boundary-layer transition predictions. Among the available methods, there are correlations based upon R sub e, shape factors, Goertler number and crossflow Reynolds number. The most advanced transition prediction method is based upon linear stability theory in the form of the e sup N method which has proven to be successful in predicting transition in two- and three-dimensional boundary layers. When transition occurs in a low disturbance environment, the e sup N method provides a viable design tool for transition prediction and LFC in both 2-D and 3-D subsonic/supersonic flows. This is true for transition dominated by either TS, crossflow, or Goertler instability. If Goertler/TS or crossflow/TS interaction is present, the e sup N will fail to predict transition. However, there is no evidence of such interaction at low amplitudes of Goertler and crossflow vortices
Fuzzy logic applications to expert systems and control
A considerable amount of work on the development of fuzzy logic algorithms and application to space related control problems has been done at the Johnson Space Center (JSC) over the past few years. Particularly, guidance control systems for space vehicles during proximity operations, learning systems utilizing neural networks, control of data processing during rendezvous navigation, collision avoidance algorithms, camera tracking controllers, and tether controllers have been developed utilizing fuzzy logic technology. Several other areas in which fuzzy sets and related concepts are being considered at JSC are diagnostic systems, control of robot arms, pattern recognition, and image processing. It has become evident, based on the commercial applications of fuzzy technology in Japan and China during the last few years, that this technology should be exploited by the government as well as private industry for energy savings
Applications of Liapunov Stability Theory to Control Systems
Applications of Liapunov stability theory to control system
New approach to stochastic optimal control and applications to economics
This paper provides new insights into the solution of optimal stochastic control problems by means of a system of partial differential equations, which characterize directly the optimal control. This new system is obtained by the application of the stochastic maximum principle at every initial condition, assuming that the optimal controls are smooth enough. The type of problems considered are those where the diffusion coefficient is independent of the control variables, which are supposed to be interior to the control region. The results obtained are applied to the study of the classical consumption–savings model.
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