Differential linear repetitive processes are a distinct class of 2D continuous-discrete linear systems of both applications and systems theoretic interest. In the latter area, they arise, for example, in the analysis ...
详细信息
Differential linear repetitive processes are a distinct class of 2D continuous-discrete linear systems of both applications and systems theoretic interest. In the latter area, they arise, for example, in the analysis of both iterative learning control schemes and iterative algorithms for computing the solutions of nonlinear dynamic optimal control algorithms based on the maximum principle. Repetitive processes cannot be analysed/controlled by direct application of existing systems theory and to date there are few results on the specification and design of control schemes for them. The paper uses an LMI setting to develop the first really significant results in this problem domain.
It is possible to prestabilise the predictions used within Predictive Functional control in order to increase the likelihood of a stabilising control design. However, the minimal order approach to prestabilisation is ...
详细信息
It is possible to prestabilise the predictions used within Predictive Functional control in order to increase the likelihood of a stabilising control design. However, the minimal order approach to prestabilisation is not always a good basis for control design. This weakness is investigated and some non-minimal forms of prestabilisation are developed which are a much better basis for control.
A paper deals with application of stochastic methods for dynamic neural network training. The considered network is composed of dynamic neurons, which contain inner feedbacks. This network can be used as a part of a f...
详细信息
In this paper, an active fault tolerant control (FTC) strategy is presented for linear dynamic systems. The robust observer-based fault detection and isolation (FDI) systems are applied to guide the reconfiguration of...
详细信息
In this paper, an active fault tolerant control (FTC) strategy is presented for linear dynamic systems. The robust observer-based fault detection and isolation (FDI) systems are applied to guide the reconfiguration of controller parameters to achieve the optimal control performance during different operating conditions of the system: fault-free, fault detected and fault isolated. The selection of design parameters is achieved using the linear matrix inequality (LMI) optimization technique.
This paper presents the design of a controller based on adaptive backstepping and high order sliding modes for output tracking of mobile robots. The proposed controller can greatly reduce chattering of sliding modes o...
详细信息
This paper presents the design of a controller based on adaptive backstepping and high order sliding modes for output tracking of mobile robots. The proposed controller can greatly reduce chattering of sliding modes of the system, and it has certain robustness with respect to the external random disturbances and good adaptability with respect to the parametric uncertainty.
In this paper, fault detection problems for linear uncertain systems are studied. Instead of designing fault detection systems from the viewpoint of increasing the system robustness against unknown inputs and the sens...
详细信息
In this paper, fault detection problems for linear uncertain systems are studied. Instead of designing fault detection systems from the viewpoint of increasing the system robustness against unknown inputs and the sensitivity to the faults, an approach is proposed, which allows us to design fault detection systems in such a way that the missed detection rate is minimized for a given false alarm rate.
Differential linear repetitive processes are a distinct class of 2D continuous-discrete linear systems of both applications and systems theoretic interest. In applications, they arise in iterative learning control sch...
详细信息
Differential linear repetitive processes are a distinct class of 2D continuous-discrete linear systems of both applications and systems theoretic interest. In applications, they arise in iterative learning control schemes and in iterative solution algorithms for nonlinear dynamic optimal control algorithms based on the maximum principle. Repetitive processes cannot be analysed/controlled by direct application of the existing systems theory and hence a 'mature' systems theory must be developed for them followed (where appropriate) by onward translation into efficient controller design algorithms. This paper continues the development of the former area by developing some significant new results on the application of currently available delay differential systems theory to these processes.
Electro Speckle Pattern Interferometry (ESPI) and Shearography for quantitative analysis of a crack inside of pipelines are described. Shearography is used widely for non-destructive inspection because of high sensiti...
详细信息
ISBN:
(纸本)7560317685
Electro Speckle Pattern Interferometry (ESPI) and Shearography for quantitative analysis of a crack inside of pipelines are described. Shearography is used widely for non-destructive inspection because of high sensitivity and simple interferometer. However, it is difficult to determine the defect size quantitatively because there are so many effect factors- shearing distance, shearing direction, induced load, and crack dept., which is depend on operator's skill. In this paper, a crack inside of pipeline is inspected with Shearography and ESPI. Firstly, the condition of these factors in Shearography is optimized for quantitative analysis and the size of crack is determined. And also, ESPI is used for determination of crack size quantitatively also. This method is independent on information of a crack and only induced load play an important role. The deformation is measured three-dimensionally and differentiated for finding of strain concentration points, which is equal to result of Shearography so that crack size can be determined quantitatively without any information of crack.
A learning feedforward controller (LFFC) using the Bartlet window function is proposed for a better tracking control of linear system over a finite time interval. LFFC is applied as a feedforward controller to the exi...
详细信息
A learning feedforward controller (LFFC) using the Bartlet window function is proposed for a better tracking control of linear system over a finite time interval. LFFC is applied as a feedforward controller to the existing feedback controller. This paper demonstrates that using a simple window function-Bartlet (Fejer or triangular) window in signal processing, the design of a learning feedforward controller reduces to determining only two design parameters: the learning gain and the number of point in the window. Convergence analysis is presented together with a design procedure.
This paper examines two classes of algorithms that estimate a continuous time ARX type of models from discrete data: one is based on infinite impulse response (IIR) filters while the other is based on finite impulse r...
详细信息
This paper examines two classes of algorithms that estimate a continuous time ARX type of models from discrete data: one is based on infinite impulse response (IIR) filters while the other is based on finite impulse response (FIR) filters. The IIR filters use continuous time state variable filters, and discretisation is performed on the filtered derivatives. In contrast, the FIR filters are in a discrete form with carefully chosen coefficients to approximate the derivatives of the continuous time variables. The strength and weakness of each approach are discussed and demonstrated by a set of simulation examples.
暂无评论