Deep reinforcement learning is a focus research area in artificial intelligence. The principle of optimality in dynamic programming is a key to the success of reinforcement learning methods. The principle of adaptive ...
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In this paper the structural controllability and observability of heat exchanger networks are determined from qualitative information about the heat exchangers and their network topology. The heat exchanger network is...
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In this paper the structural controllability and observability of heat exchanger networks are determined from qualitative information about the heat exchangers and their network topology. The heat exchanger network is modelled as a time-varying linear system based on first engineering principles where the effect of the flowrate variations is described by unknown time-varying parameters, inlet temperature variations are regarded as disturbances and external heaters/coolers are considered as input variables. Necessary and sufficient conditions for structural controllability and observability of heat exchanger networks are derived, based on an extended Kalman-type rank criterion for linear systems with time-varying parameters. Determining the structural controllability and observability of heat exchanger networks needs only checks for the input and output connectability of the network in both constant and time-varying parameter cases. The results are extended to the more-practical case where bypass ratios are also used as control variables and where more than one time-varying parameter enters into the state-space matrices.
Dynamic multiobjective optimization problems (DMOPs) present significant challenges to conventional evolutionary optimization methods because of the continuous changes in their Pareto-optimal sets (PSs) and fronts (PF...
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This paper presents a new method for control reconfiguration of nonlinear, input-affine systems subject to actuator failures. For full-state linearizable systems it is shown that after the occurrence of an actuator fa...
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The paper considers the problem of synchronising linear discrete-time agents within a finite time interval. The agents can measure only the outputs to be synchronised. The main result is a controller structure for whi...
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The main objective of the paper is to study the approximation and complexity trade-off capabilities of the recently proposed Tensor Product Distributed Compensation (TPDC) based control design framework. The TPDC is t...
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The main objective of the paper is to study the approximation and complexity trade-off capabilities of the recently proposed Tensor Product Distributed Compensation (TPDC) based control design framework. The TPDC is the combination of the TP model transformation and the Parallel Distributed Compensation (PDC) framework. The TP model transformation includes an HOSVD based technique to solve the approximation and complexity trade-off. In this paper we generate TP models with different complexity and approximation properties, and then we derive controllers for them. We analyze how the trade-off effects the model behavior and control performance. All these properties are studied via the state feedback controller design of the Translational Oscillations with an Eccentric Rotational Proof Mass Actuator (TORA) System.
This work is devoted to developing tools for the visual analysis of tropical cyclones based on satellite data. The implemented system has an extensible set of algorithms for the loading, processing and visualization o...
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This work is devoted to developing tools for the visual analysis of tropical cyclones based on satellite data. The implemented system has an extensible set of algorithms for the loading, processing and visualization of data, mainly the spatial scalar fields. The wellknown algorithms and author's developments using CUDA technology, and shaders were used in creation of visualization system.
A severe fault renders a system inoperable by breaking the control loops. The task of control reconfiguration is to change the control structure in order to bring the control back into operation. This paper introduces...
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The present article details a method suitable for fault detection of hydraulic flight control system actuators. A model based method is discussed, which use the linear parameter-varying (LPV) framework, which leads to...
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control reconfiguration concerns the problem of finding a new control configuration and new controller parameters after faults have brought the nominal controller out of operation. This paper develops the idea of the ...
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ISBN:
(纸本)9783902661142
control reconfiguration concerns the problem of finding a new control configuration and new controller parameters after faults have brought the nominal controller out of operation. This paper develops the idea of the generalised virtual actuator, which is a reconfiguration block to be inserted between the faulty plant and the nominal controller. General properties of the reconfigured closed-loop system like the separation principle for the generalised virtual actuator are proved and guidelines are given for the choice of the free parameters. The new reconfiguration scheme includes several ideas that have been recently developed for specific situations and makes it possible to use a uniform reconfiguration algorithm in all these situations. The results are illustrated by presenting a solution to the COSY benchmark problem. Copyright (c) 2006 IFAC.
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