In this paper a 2D systems setting is used to develop new results on iterative learning control for linear plants in the case when there are multiple reference signals. The algorithms for control law design are develo...
详细信息
In this paper a 2D systems setting is used to develop new results on iterative learning control for linear plants in the case when there are multiple reference signals. The algorithms for control law design are developed using a strong form of stability for discrete linear repetitive processes known as stability along the pass. The resulting design computations are in terms of Linear Matrix Inequalities(LMIs).
Abstract A sensor location problem for monitoring network with stationary nodes used for estimating unknown parameters of distributed-parameter system is addressed. In particular, the situation is considered, when the...
详细信息
Abstract A sensor location problem for monitoring network with stationary nodes used for estimating unknown parameters of distributed-parameter system is addressed. In particular, the situation is considered, when the actual spatial positions of sensor nodes at the experimentation stage may be uncertain to some extent and randomly fluctuate around some locations specified at the configuration stage. In the presented approach, some results from experimental design theory for dynamic systems with random regressors are extended for the purpose of configuring a sensor network. Then, a simple algorithm based on the notion of approximate near minimum from statistical learning theory is adapted to select the most informative sensor locations. The delineated approach is illustrated by numerical example on a sensor network design for a two-dimensional convective diffusion process.
The work presented in this paper deals with a fault tolerant control system designed for a boiler unit. The main core of the proposed system is the so-called on-line fault approximator built using locally recurrent ne...
详细信息
The work presented in this paper deals with a fault tolerant control system designed for a boiler unit. The main core of the proposed system is the so-called on-line fault approximator built using locally recurrent neural networks. The on-line stable training of the fault approximator is developed for monitoring of the controlled system. The obtained fault estimator is then used for the fault detection as well as for the fault accommodation. Computer experiments illustrate the performance of the proposed system for a boiler unit.
In this paper, an active FTC strategy is presented. First, it is developed in the context of linear systems and then it is extended to Takagi-Sugeno fuzzy systems. The key contribution of the proposed approach is an i...
详细信息
In this paper, an active FTC strategy is presented. First, it is developed in the context of linear systems and then it is extended to Takagi-Sugeno fuzzy systems. The key contribution of the proposed approach is an integrated FTC design procedure of the fault identification and fault-tolerant control schemes. Fault identification is based on the use of an observer. While, the FTC controller is implemented as a state feedback controller. This controller is designed such that it can stabilize the faulty plant using Lyapunov theory and LMIs.
Iterative Learning control(ILC) is now well established for linear and nonlinear dynamics in terms of both the underlying theory and experimental *** approach is specifically targeted at applications where the same op...
详细信息
Iterative Learning control(ILC) is now well established for linear and nonlinear dynamics in terms of both the underlying theory and experimental *** approach is specifically targeted at applications where the same operation is repeated over a finite duration with resetting between successive *** execution is known as a trial and the novel principle behind ILC is to suitably use information from previous trials in the selection of the current trial input with the objective of sequentially improving performance from *** this paper,we give further results on the extension of ILC approach to the class of n D systems that arise from certain methods of discretization of partial differential equations resulting in the need to use a spatio-temporal setting for *** resulting control laws can be computed using Linear Matrix Inequalities(LMIs).An illustrative example is also given and areas for further research briefly discussed.
This paper describes cytological image segmentation and diagnosis method. The analysis includes an expert database supported Hough transform for irregular structures, image pre-processing and pre-segmentation, nuclei ...
详细信息
The paper studies the dependability of software implementation of the numerical Generalized Predictive control (GPC) Model Predictive control (MPC) algorithm. The algorithm is implemented for a control system of a mul...
详细信息
The paper studies the dependability of software implementation of the numerical Generalized Predictive control (GPC) Model Predictive control (MPC) algorithm. The algorithm is implemented for a control system of a multivariable chemical reactor - a process with strong cross-couplings. Fault sensitivity of the proposed implementations is verified in experiments with a software implemented fault injector. Experimental methodology of disturbing the software implementation of the control algorithm is presented. The impact of faults on the quality of the controller performance is analysed and techniques improving the dependability of the algorithm implementation are proposed. The experimental results prove the efficiency of the software improvements.
Repetitive processes are a distinct class of two-dimensional (2D) systems (i.e. information propagation in two independent directions occurs) of both systems theoretic and applications interest. In particular, these p...
详细信息
ISBN:
(纸本)9783902661555
Repetitive processes are a distinct class of two-dimensional (2D) systems (i.e. information propagation in two independent directions occurs) of both systems theoretic and applications interest. In particular, these processes are characterized by a series of sweeps through dynamics defined over a finite duration where the output produced on the previous pass critically contributes to the current one and so on. Also the process is reset before the start of each new pass and in the majority of the currently known results it is assumed that the previous pass profile is unaffected by the resetting and other not directly modeled effects. In practice this may not be the case and in such cases there is a need to adequately represent this feature in the models used for analysis. In this paper control law design algorithms for one representation of the case when the previous pass profile is significantly modified before the next pass begins are developed.
In this paper the practical BIBO stability concept introduced by Agathoklis and Bruton is analyzed with respect to its applicability in the field of signal processing applications. In the field of n-D signal processin...
详细信息
In this paper the practical BIBO stability concept introduced by Agathoklis and Bruton is analyzed with respect to its applicability in the field of signal processing applications. In the field of n-D signal processing signals are often bounded to all but one dimension like be the time-direction of a spatio-temporal signal, for instance. This property makes the use of systems which meet the conditions of practical BIBO stability, mainly known from the field of control theory, appear to be feasible. However, it can be shown hat practical stability in its original form is not sufficient in signal processing if not further conditions are supposed. This is done by comparing the 2D Fourier transform of the actually measured impulse response of exemplary systems to the frequency response expected on basis of the transfer function. Additionally, an application example is given to verify the presented observations.
暂无评论