In this paper the robust fault detection and isolation (FDI) problem in linear systems, which are subjected to multiple faults and time varying system perturbations is discussed. The detection and isolation problem is...
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In this paper the robust fault detection and isolation (FDI) problem in linear systems, which are subjected to multiple faults and time varying system perturbations is discussed. The detection and isolation problem is treated by using algebraic methods and geometric design concepts. The idea of the classical Luenberger observer is generalized in an attempt that residual generators for solving the robust FDI problem can be designed.
The volume data is generally in the form of the large array of numbers. In order to render the object hidden in the volumetric data, we need to reconstruct or interpolate data values between the samples. The novelty p...
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The volume data is generally in the form of the large array of numbers. In order to render the object hidden in the volumetric data, we need to reconstruct or interpolate data values between the samples. The novelty presented in this paper is B-spline interpolation in the volumetric space. We show that this approach is better than currently used methods. We also present a hybrid approach, analyze this approach in frequency domain and compare it to B-spline interpolation. To enhance the quality during the volume visualization process it is important to enhance the quality of the reconstruction. It is of crucial importance to explore different undesired effects. If better reconstruction is performed the more accurate result of volume visualization process is achieved.
This paper introduces the real-time digital identification of nonlinear dynamical processes whose structure and parameters are not known exactly. On the basis of recorded input-output pairs of SISO measurements incorp...
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This paper introduces the real-time digital identification of nonlinear dynamical processes whose structure and parameters are not known exactly. On the basis of recorded input-output pairs of SISO measurements incorporating an additive output noise of stochastic nature the process is linearized and modelled by a second-order lumped parameters representation. The instrumental variable techniques are used as estimators for such processes, and recursive approximations are used to make the IV estimators computationally efficient. The identification performances are presented by simulating two realistic systems, which represent the human blood glucose metabolism, using a notebook computer.
作者：
Malakooti, BZhou, YQDepartment of Systems
Control and Industrial Engineering Center for Automation and Intelligent Systems Research Case Western Reserve University Cleveland Ohio 44106 USA
Polynomial functions are used in many applications. In this paper, we address the capacity of Feedforward Artificial Neural Networks (FANNs) in approximating polynomial functions. Instead of studying the capacity of a...
Polynomial functions are used in many applications. In this paper, we address the capacity of Feedforward Artificial Neural Networks (FANNs) in approximating polynomial functions. Instead of studying the capacity of a FANN with infinitely available hidden nodes, which was proved to be a universal approximator, we provide the capacity results of a FANN with finite hidden nodes in approximating polynomial functions. First, we show that there is a relationship between the capacity of a FANN in approximating polynomial functions and the number of hidden nodes used in the FANN. Then, we describe a procedure to realize a FANN in approximating polynomial functions. Two examples are given to show the procedure. Several experiments are reported which verifies that a FANN with a certain number of hidden nodes has the capability in learning given polynomial functions. An extension of the approach for solving multiple criteria decision making problems is discussed. The experiments also show that the proposed algorithm for training a FANN performs accurately. (C) Elsevier Science Inc., 1998.
Robotic manipulation of a flexible payload is a complex and challenging control problem. This paper shows in theory that under the widely used scheme of PD plus gravity compensation, the position/orientation of a gene...
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The purpose of this paper is to present a brief overlook and evaluation of the methods of artificial intelligence in process control that are relative to the selection of a control system and the choice of an adequate...
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The purpose of this paper is to present a brief overlook and evaluation of the methods of artificial intelligence in process control that are relative to the selection of a control system and the choice of an adequate control policy of industrial processes. Consequently it discusses the selection of an adequate process control structure based on the intelligent control methodologies including neural networks, fuzzy and hybrid techniques, modeling and identification, and data analysis methods. For this goal we have elaborated a brief study and evaluation of process control methodologies for control strategy and control structure selection, and we have highlighted the needs to implement advanced adequate solutions to the existing problems.
This paper verifies that the widely used PD plus a force control scheme is also suitable for controlling a system of two industrial robots manipulating a flexible sheet. It is proven by LaSalle's theorem that unde...
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The stabilisation control for a class of composite plants based on the concept of output feedback is investigated. A decentralised control is constructed to stabilise this class of large-scale systems with delay and t...
The stabilisation control for a class of composite plants based on the concept of output feedback is investigated. A decentralised control is constructed to stabilise this class of large-scale systems with delay and time varying uncertainties in the interconnections. The control action is based on the output feedback. Interconnections satisfy the so-called matching conditions. A sufficient condition is presented, which ensures uniform ultimate boundedness for both the subsystems and the overall system.
The stabilisation problem of linear, time-invariant, large-scale, composite systems with delays in the interconnections without any additional assumption on system structure are considered. It is shown basically that ...
The stabilisation problem of linear, time-invariant, large-scale, composite systems with delays in the interconnections without any additional assumption on system structure are considered. It is shown basically that time-delays in the interconnections do not create additional difficulties. The main results presented demonstrate that stabilisation control by the local memoryless state feedback for this class of systems is always possible.
Robotic manipulation of a flexible payload is a complex and challenging control problem. The paper shows in theory that under the widely used scheme of PD plus gravity compensation, the position/orientation of a gener...
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Robotic manipulation of a flexible payload is a complex and challenging control problem. The paper shows in theory that under the widely used scheme of PD plus gravity compensation, the position/orientation of a general flexible payload manipulated by multiple robots approaches the desired one, and simultaneously the vibration of the payload at each contact is suppressed. The vibration suppression at each contact is helpful to suppress all vibrations of the flexible body. The "clamped-free" model is used to decompose the dynamics of the payload into two distinct dynamic subsystems. This allows us to treat these dynamic subsystems separately and prove that desired motion trajectories can be achieved with the proposed scheme. An example of experiment of manipulating a flexible sheet using two industrial CRS A460 robots is described finally.
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