This paper presents a new topological structure for use in the context of hierarchical radiosity combined with discontinuity meshing. This is most useful for a new strategy adopted for subdividing the elements of a sc...
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This paper presents a new topological structure for use in the context of hierarchical radiosity combined with discontinuity meshing. This is most useful for a new strategy adopted for subdividing the elements of a scene consisting of convex polygons. The subdivision is done in a local optimization manner keeping the aspect ratios of produced polygons low. The generated meshes give high visual accuracy.
In this paper, a servo control synthesis based on the μ method is applied. With this method, a robust compensator that achieves performance specifications can be designed, which provides the track of the predefined r...
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In this paper, a servo control synthesis based on the μ method is applied. With this method, a robust compensator that achieves performance specifications can be designed, which provides the track of the predefined reference signal, rejects the effects of the disturbances and takes structured uncertainty into consideration. In the mixed μ synthesis, both the real parametric and the complex uncertainties are handled together, which usually yields a less conservative compensator than the traditional robust control design methods. The design strategy is illustrated for an inverted pendulum device, which involves real parametric uncertainties.
This paper is concerned with the use of active brake systems in order to decrease the rollover risk of heavy vehicles. Since the forward velocity of the vehicle changes in time, the combined yaw-roll dynamic model has...
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This paper is concerned with the use of active brake systems in order to decrease the rollover risk of heavy vehicles. Since the forward velocity of the vehicle changes in time, the combined yaw-roll dynamic model has a nonlinear structure. Selecting the forward velocity and the so-called normalized lateral load transfer at the rear side as scheduling parameters, a Linear Parameter Varying (LPV) model is constructed. In the control design based on the LPV model, the changes in the forward velocity, the performance requirements and the model uncertainties are taken into consideration. The control design is demonstrated in different situations.
This paper addresses the global dissipativity of a general class of continuous-time recurrent neural networks. First, the concepts of global dissipation and global exponential dissipation are defined and elaborated. N...
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This paper addresses the global dissipativity of a general class of continuous-time recurrent neural networks. First, the concepts of global dissipation and global exponential dissipation are defined and elaborated. Next, the sets of global dissipativity and global exponentially dissipativity are characterized using the parameters of recurrent neural network models. In particular, it is shown that the Hopfield network and cellular neural networks with or without time delays are dissipative systems.
In this paper a combined control structure with an active antiroll bar control and an active braking control is developed to decrease the rollover risk of heavy vehicles. This control structure also results in a fault...
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In this paper a combined control structure with an active antiroll bar control and an active braking control is developed to decrease the rollover risk of heavy vehicles. This control structure also results in a fault-tolerant system since in case of a failure an adequate tuning of the control mechanism guarantees the roll stability. The control design is based on LPV model of the vehicle in which the forward velocity and the lateral load transfer at the rear are selected as scheduling parameters. In the actual controlled system, the compensator also uses the output of a fault detection filter. The operation of the control mechanism is demonstrated in a double lane change maneuver
This paper describes the principles of an intelligent automaton for controlling the secondary stage of a wastewater treatment plant. The automaton has been implemented as a finite state machine that can be integrated ...
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This paper describes the principles of an intelligent automaton for controlling the secondary stage of a wastewater treatment plant. The automaton has been implemented as a finite state machine that can be integrated into the existing supervisory control and data acquisition system of any wastewater treatment plant. Human knowledge, in the form of linguistic rules, is embedded in the automaton, which has been shown to be capable of controlling the process very satisfactorily in all but extreme conditions.
Shortened product life-cycles decreases the output rate of manufacturing systems as the introduction of new products into the manufacturing system becomes more frequent. Improvements of the development process of manu...
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Shortened product life-cycles decreases the output rate of manufacturing systems as the introduction of new products into the manufacturing system becomes more frequent. Improvements of the development process of manufacturing systems are needed to increase the output. Information handling and development of control programs based on information reuse are two of the most important improvement areas. These areas, among other things, can be a support for offline verification, which promises to directly increase the output rate due to shortening product introduction times. This paper deals with two problems of the many connected to enabling offline verification. First, a general control program structure, adapted to information reuse, is needed and secondly, the information necessary to generate the control programs needs to be defined. A method is proposed where information from the mechanical design of a cell, from the product, and from manual simulation are reused and automatically converted into control programs that schedule the work in a collision-free, deadlock-free and time-optimized way. The correctness of the generated programs is guaranteed by use of formal methods, simulation and an uncorrupted conversion of specifications into control programs.
This paper describes the application of a technique for the two-dimensional frequency domain analysis of the closed-loop performance of a cross-directional papermaking process under industrial model predictive control...
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This paper describes the application of a technique for the two-dimensional frequency domain analysis of the closed-loop performance of a cross-directional papermaking process under industrial model predictive control (MPC). For such spatially-distributed systems, the process model and the linear portion of the controller are approximated as linear, spatially-invariant, and time-invariant. The closed-loop performance of these systems can then be analyzed in terms of a family of SISO systems by diagonalizing the large-scale transfer matrices across spatial frequencies. Familiar concepts from control engineering such as bandwidth and stability margin are extended into the two-dimensional frequency domain.
A control systems engineering approach, employing a two-level overall system architecture and different but compatible formalisms for system representation on the upper and lower levels, has been investigated in detai...
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