This paper addresses the problem of implementing predictive controllers for supervisory level controlsystems. In this configuration the manipulated variables calculated by the Predictive controller are used as comman...
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This paper addresses the problem of implementing predictive controllers for supervisory level controlsystems. In this configuration the manipulated variables calculated by the Predictive controller are used as command signals for the Distributed controlsystems, which provide references to the operator-tuned local PID controllers that act on the physical system. This structure introduces the problem of loosing of performance if the inner-loop controllers are re-tuned. The paper discusses the solution to this problem based on the use of a two-degrees-of-freedom structure in the inner loop, that separates open and closed-loop properties. Both design guidelines and robustness issues are discussed.
Many fundamental problems in the max-plus-algebraic system theory for discrete event systems - among which the minimal state space realization problem - can be solved using an Extended Linear Complementarity Problem (...
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Many fundamental problems in the max-plus-algebraic system theory for discrete event systems — among which the minimal state space realization problem — can be solved using an Extended Linear Complementarity Problem...
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Many fundamental problems in the max-plus-algebraic system theory for discrete event systems — among which the minimal state space realization problem — can be solved using an Extended Linear Complementarity Problem (ELCP). We present some new, more efficient methods to solve the ELCP. We show that an ELCP with a bounded feasible set can be recast as a standard Linear Complementarity Problem (LCP). Our proof results in three possible numerical solution methods for a given ELCP: regular ELCP algorithms, mixed integer linear programming algorithms, and regular LCP algorithms. We also apply these three methods to a basic max-plus-algebraic benchmark problem.
A novel approach to fault diagnosis in nonlinear stochastic systems is proposed. It is based on the particle filtering (PF) algorithm, a Monte Carlo technique based state estimation method, and the multiple model (MM)...
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In this paper, Agent-based architecture has been introduced into GIS for interactability and scalability. We have developed an interface agent to interactively assist the user with the query formation process. The int...
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In this paper, Agent-based architecture has been introduced into GIS for interactability and scalability. We have developed an interface agent to interactively assist the user with the query formation process. The interface agent has a capability of offering domain knowledge that is associated with a given query. Also the agent records users troubleshooting experience and show them to the same user and other user as hints. Further, we also have developed the Agent-based architecture with a 2-tier mediator model in GIS to meet the needs for interoperability among diverse application domains and integration of heterogeneous information source. Also broker agent provides a matchmaking service to other agent. As a result, qualitative and quantitative data can be integrated into GIS. Also we describe a prototype system -GXGIS- using agent-based technology.
Deals with the use of object oriented technologies in the modeling of industrial plants that have to be remotely monitored and/or controlled. The main goal is to propose a design methodology for obtaining the model of...
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ISBN:
(纸本)0780372417
Deals with the use of object oriented technologies in the modeling of industrial plants that have to be remotely monitored and/or controlled. The main goal is to propose a design methodology for obtaining the model of the so-called Virtual Plant, that a remote and certified user will use to access the real plant for performing command actions and/or monitoring. The type of applications and systems targeted must have autonomous behavior and be interconnected and accessible. Reliability, maintainability and flexibility are also required goals, as well as a high rate of reusability of the applications. The methodology has been applied to the remote process monitoring and control of manufacturing processes. The Virtual Plant Model is, in fact, the part of the plant that can be accessed by a certified remote client and thus it can be constituted by a set of sub-models, as many as different types of clients. The Virtual Plant resides inside the Application Server who is responsible of communicating with the cell controller and sends the image of the actual plant state (the Virtual Plant) as required by the remote client (monitoring) or sends the client commands to the cell controller.
The formation of a convoy of cars (platoon) by linking these electronically (soft platooning) or mechanically (hard platooning) are two of the most researched methods in highway transportation systems, particularly th...
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The formation of a convoy of cars (platoon) by linking these electronically (soft platooning) or mechanically (hard platooning) are two of the most researched methods in highway transportation systems, particularly the first one that is the base of the Automated Highway systems. This paper focuses on the advantages and disadvantages of both systems and introduces the main technical problems of them. The need for new traffic rules is examined in the case of truck train travels on a multi-lane highway. The kingpin sliding technique is also proposed to face the off-tracking phenomenon of multi-articulated vehicles. Some conclusions from the comparison of the two systems are also given
The motion of a multi-body autonomous robot as well as of a train-like multi-articulated transportation vehicle is characterized by the deviation of the path of each intermediate vehicle from that of the leading one (...
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The motion of a multi-body autonomous robot as well as of a train-like multi-articulated transportation vehicle is characterized by the deviation of the path of each intermediate vehicle from that of the leading one (off-tracking). This paper proposes an intelligent controller for the elimination of the off-tracking phenomenon, in both robotic and transportation multi- articulated vehicles. By using a sliding kingpin technique that allows articulated semi-trailers to follow closely the tractor's path, and taking into consideration the heuristic knowledge that stems from the driving practice and the tests' experience, a fuzzy rule-based controller has been developed to determine the sliding distance and the sliding rate of the kingpin mechanism. Simulation results for various cases, without and with the sliding kingpin system showed that off-tracking elimination is achieved to a significant degree through the use of intelligent controller.
A novel approach to fault diagnosis in nonlinear stochastic systems is proposed. It is based on the particle filtering (PF) algorithm, a Monte Carlo technique based state estimation method, and the multiple model (MM)...
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A novel approach to fault diagnosis in nonlinear stochastic systems is proposed. It is based on the particle filtering (PF) algorithm, a Monte Carlo technique based state estimation method, and the multiple model (MM) approach. The simulation results on a univariate model are provided and the fault detection and isolation performance are compared with that using the extended Kalman filter which demonstrate the effectiveness of the proposed approach.
The paper addresses the problem of design of a robust controller for a class of non linear uncertain systems to guarantee the prescribed decay rate of exponential stability. The polytope type bounded deterministic unc...
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The paper addresses the problem of design of a robust controller for a class of non linear uncertain systems to guarantee the prescribed decay rate of exponential stability. The polytope type bounded deterministic uncertainties are considered both in a studied system and its input part. The proposed approach does not employ matching conditions.
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