Artificial neural networks, in particular, feedforward multilayer networks and basis function networks, have gradually established themselves as a usual tool in approximating complex nonlinear systems. B-spline networ...
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Artificial neural networks, in particular, feedforward multilayer networks and basis function networks, have gradually established themselves as a usual tool in approximating complex nonlinear systems. B-spline networks, a type of basis function neural network, are normally trained by gradient-based methods, which may fall into local minima during the learning phase. In order to overcome the drawbacks encountered by conventional learning methods, particle swarm optimization - a swarm intelligence methodology - can provide a stochastic global search of B-spline networks for nonlinear system identification. In this paper, a modified particle swarm optimization algorithm using Gaussian and Cauchy probability distributions are applied to adjust the control points of B-spline neural networks. Simulation results for the identification of Rossler systems are provided and demonstrate the effectiveness and robustness of the proposed identification scheme.
This paper proposes the development of a fuzzy predictive control. Genetic algorithms (GA's) are used to automatically tune the controller. A recurrent neural network is used to identify the process, and then prov...
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This paper proposes the development of a fuzzy predictive control. Genetic algorithms (GA's) are used to automatically tune the controller. A recurrent neural network is used to identify the process, and then provides predictions about the process behavior, based on control actions applied to the system. These predictions are used by the fuzzy controller, in order to accomplish a better control of an alcoholic fermentation process from chemical industry. This problem has been chosen due to its non-linearity and large accommodation time, that make it hard to control by standard controllers. Comparison of performance is made with non-predictive approaches(PID and Fuzzy-PD), and also with another predictive approach, GPC(Generalized Predictive control).
Aboard current ships, such as the DDG 51, engineeringcontrol and damage control activities are manpower intensive. It is anticipated that, for future combatants, the workload demand arising from operation of systems ...
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Aboard current ships, such as the DDG 51, engineeringcontrol and damage control activities are manpower intensive. It is anticipated that, for future combatants, the workload demand arising from operation of systems under conditions of normal steaming and during casualty response will need to be markedly reduced via automated monitoring, autonomous control, and other technology initiatives. Current DDG 51 class ships can be considered as a manpower baseline and under Condition III typical engineeringcontrol involves seven to eight watchstanders at manned stations in the Central control Station, the engine rooms and other machinery spaces. In contrast to this manning level, initiatives such as DD 21 and the integrated engineering plant (IEP) envision a partnership between the operator and the automation system, with more and more of the operator's functions being shifted to the automation system as manning levels decrease. This paper describes some human systems integration studies of workload demand reduction and, consequently, manning reduction that can be achieved due to application of several advanced technology concepts. Advanced system concept studies in relation to workload demand are described and reviewed including. Piecemeal applications of diverse automation and remote control technology concepts to selected high driver tasks in current DDG 51 activities. Development of the reduced ship's crew by virtual presence system that will provide automated monitoring and display to operators of machinery health, compartment conditions, and personnel health. The IEP envisions the machinery control system as a provider of resources that are used by various consumers around the ship. Resource needs and consumer priorities are at all times dependent upon the ship's current mission and the availability of equipment pawnbrokers.
This paper addresses the problem of robust /spl Hscr//sub /spl infin// filtering for linear discrete-time systems subject to parameter uncertainties in the system state-space model and with multiple time delays in the...
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This paper addresses the problem of robust /spl Hscr//sub /spl infin// filtering for linear discrete-time systems subject to parameter uncertainties in the system state-space model and with multiple time delays in the state variables. The uncertain parameters are supposed to belong to a given convex bounded polyhedral domain. A methodology is developed to design a stable linear filter that assures asymptotic stability and a prescribed /spl Hscr//sub /spl infin// performance for the filtering error, irrespective of the uncertainty and the time delays. The proposed design is given in terms of linear matrix inequalities, which has the advantage in that it can be implemented numerically very efficiently.
The problem of robust H/spl infin/ filtering for continuous-time uncertain linear systems with multiple time-varying delays in the state variables is investigated. The uncertain parameters are supposed to belong to a ...
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The problem of robust H/spl infin/ filtering for continuous-time uncertain linear systems with multiple time-varying delays in the state variables is investigated. The uncertain parameters are supposed to belong to a given convex bounded polyhedral domain. The aim is to design a stable linear filter assuring asymptotic stability and a prescribed H/spl infin/ performance level for the filtering error system, irrespective of the uncertainties and the time delays. Sufficient conditions for the existence of such a filter are established in terms of linear matrix inequalities, which can be efficiently solved by means of powerful convex programming tools with global convergence assured. An example illustrates the proposed methodology.
The problem of robust H∞ state-feedback control design for a class of continuous-time linear systems with Markovian jumping parameters and multiple time-varying delays at the states, and subject to uncertain paramete...
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The problem of robust H ∞ state-feedback control design for a class of continuous-time linear systems with Markovian jumping parameters and multiple time-varying delays at the states, and subject to uncertain parame...
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The problem of robust H ∞ state-feedback control design for a class of continuous-time linear systems with Markovian jumping parameters and multiple time-varying delays at the states, and subject to uncertain parameters is addressed in this paper. It is assumed that the jumping parameters are available and the uncertain parameter belong to given convex bounded domains (polytope type uncertainty). A delay-independent sufficient condition assuring robust mean square stability and a prescribed level of H ∞ disturbance attenuation for the closed-loop system is established in terms of linear matrix inequalities.
This paper addresses the problem of robust H ∞ state-feedback control design for uncertain discrete-time linear systems with multiple time delays at the states and Markovian jumping parameters. The jumping parameters...
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This paper addresses the problem of robust H ∞ state-feedback control design for uncertain discrete-time linear systems with multiple time delays at the states and Markovian jumping parameters. The jumping parameters are assumed to be available and the uncertainties are supposed to belong to convex bounded domains (polytope type uncertainty). Delay-independent sufficient conditions assuring robust stochastic stability and a prescribed H ∞ disturbance attenuation for the closed-loop uncertain discrete-time linear system with multiple time delays and Markovian jumping parameters are established in terms of linear matrix inequalities, which have the advantage that can be implemented numerically veryefficiently.
作者：
Bryant, REFlynn, JE[?]1Russell Bryant is the leader for future decoy development in the Surface Electronic Warfare Systems Program Office
Program Executive Office for Theater Surface Combatants. Previously he served as CVN Ship Life Cycle Manager in the Aircraft Carrier Program Office Naval Sea Systems Command. He is a retired reserve Lieutenant Commander with surface warfare nuclear power and naval control of shipping/convoy qualifications. He was commissioned 1976 from the Rensselaer Polytechnic Institute NROTC program with a bachelor of engineering degree in nuclear engineering and minor in history and political science. His active duty service includes USS Mississippi (CGN 40) USS South Carolina (CGN 37)USS Texas (CGN 39)Commander Naval Surface Force
Atlantic Fleet (Readiness and Training) staff and
Commander Naval Air Force Pacific Fleet (Ship's Material) staff. He graduated in 1997 from the Naval War College College of Naval Command and Staff through the Non-Resident Seminar Program. He graduated in 1998 from the USDA Graduate School Leadership Development Academy Executive Potential Program.
Many discussions and articles address the business and military changes supporting implementation of Joint Vision 2010 and its system-of-systems approach. The dynamics of international military operations and commitme...
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Many discussions and articles address the business and military changes supporting implementation of Joint Vision 2010 and its system-of-systems approach. The dynamics of international military operations and commitments, coupled with accelerating information technologies, can lead to confusion and uncertainty Customary rules recommend caution, even stopping, when confusion and uncertainty are present, yet the needed changes counsel toward accelerated efforts. Currently, systemsengineering does not completely address delivering "operational war fighting capabilities," or foster commanders' confidence to fully exploit those capabilities upon delivery. Acquisition reform supports accelerating delivery of systems. likewise, accelerated delivery of "war fighting capabilities" within any opponents' fielding and deployment cycle is imperative. Technical advances in modeling and simulation, utilization concepts, and innovative evaluation methods create an opportunity to facilitate codevelopment of doctrine, operations, and training prior to producing hardware systems. On-line simulation and evaluation tools can overcome the need for physical systems. Specifically, this paper lays out the opportunity to evolve systemsengineering to another level, operational engineering, which leverages from the modeling and simulation environment, prior to hardware production. That modeling and simulation paired with coevolution of procedures and on-line analysis will produce a trained customer base, fully prepared for deliveries of "operational war fighting capabilities".
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