A novel tracking and almost disturbance decoupling problem of multi-input, multi-output (MIMO) nonlinear systems based on feedback linearization and a multi-layered feedforward neural network approach has been propose...
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A novel tracking and almost disturbance decoupling problem of multi-input, multi-output (MIMO) nonlinear systems based on feedback linearization and a multi-layered feedforward neural network approach has been proposed. The feedback linearization and neural network controller guarantees exponentially global uniform ultimate bounded stability and almost disturbance decoupling performance without using any learning or adaptive algorithms. The new approach renders the system to be stable with the almost disturbance decoupling property at each step when selecting weights to enhance the performance if the proposed sufficient conditions are maintained. One example, which cannot be solved by the existing approach of the almost disturbance decoupling problem because it requires the sufficient conditions that the nonlinearities that multiply the disturbances satisfy structural triangular conditions, is proposed to exploit the fact that the tracking and the almost disturbance decoupling performances are easily achieved by the proposed approach. In order to demonstrate the practical applicability, a famous half-car active suspension system is investigated.
In this article, operator-based robust nonlinear control system design for multi-inputmulti-output (MIMO) plants with unknown coupling effects is considered. That is, by using operator-based robust nonlinear control ...
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In this article, operator-based robust nonlinear control system design for multi-inputmulti-output (MIMO) plants with unknown coupling effects is considered. That is, by using operator-based robust nonlinear control design, coupling effects existing in the MIMO nonlinear plants can be decoupled based on a feedback design and robust right coprime factorisation approach, the coupling effects caused by controllers and plant outputs can be stabilised by using definition of Lipschitz operator and contraction mapping theorem, and output tracking performance can be realised by a tracking design scheme. Finally, a simulation example about temperature control process of 3-input/3-output aluminum plate is given to support the theoretical analysis.
A necessary and sufficient condition is derived in this paper for the stability of a linear time invariant(LTI)multidimen-sional(MD)dynamic *** condition is expressed by a set of linear matrix inequalities(LMIs)...
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A necessary and sufficient condition is derived in this paper for the stability of a linear time invariant(LTI)multidimen-sional(MD)dynamic *** condition is expressed by a set of linear matrix inequalities(LMIs).A special characteristic of this condition is that although the number of LMIs increases exponentially with the spatial dimension of the system,the dimensions of the LMIs are identical to each other and are of the same order as those of system ***,both the number and the dimensions of the LMIs are explicitly *** properties make the derived condition particularly attractive when the spatial dimensions are low that are frequently encountered in practical applications.
This article presents a fault tolerant flight control system using multiple model adaptive control (MMAC). To apply this method to the aircraft, model reference adaptive control is extended to a linear discrete-time m...
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This article presents a fault tolerant flight control system using multiple model adaptive control (MMAC). To apply this method to the aircraft, model reference adaptive control is extended to a linear discrete-time multiple-inputmultiple-outputsystem. multiple models can be determined by various flight conditions with respect to possible aircraft fault situations. In this article, the damages of control effectors are considered as aircraft faults. The aerodynamic coefficients of fault model are derived by a damaged control surface area. In the MMAC, how to select a proper fault model and how to switch into the selected model are significant issues. The conventional mode switching method, however, has a tendency to make the system fluctuate because of frequent mode switching, and therefore may deteriorate the performance of the aircraft. In this study, the modified adaptive mode switching scheme and new decision logic are proposed to improve the adaptiveness in the transient state dynamics of system. Numerical simulations are performed for a linear discrete-time aircraft model to validate the effectiveness of the proposed method.
This paper deals with the problem of secure data transmission based on multi-inputmulti-output delayed chaotic systems. A new multi-input secure data transmission scheme is proposed. Moreover, in order to increase ag...
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This paper deals with the problem of secure data transmission based on multi-inputmulti-output delayed chaotic systems. A new multi-input secure data transmission scheme is proposed. Moreover, in order to increase again the robustness of secure data transmission, delays are introduced as a second firewall against known plain-text attack. With this method, the parameters used as secret keys of the system are not identifiable and, as a result, the proposed scheme is robust to known plain-text attacks.
A sufficient condition is derived in this paper for the boundedness of a linear time invariant (LTI) multidimensional (MD) dynamic system over a special class of frequency domains. These frequency domains are able to ...
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A sufficient condition is derived in this paper for the boundedness of a linear time invariant (LTI) multidimensional (MD) dynamic system over a special class of frequency domains. These frequency domains are able to include many practically adopted frequency domains, such as fans, rectangles, etc., as a special situation, as well as to give an approximation with a tolerable accuracy to many other physically significant frequency domains like ellipsoids and diamonds. This condition becomes also necessary when the prescribed frequency domain is path-connected. Moreover, it is expressed in a linear matrix inequality (LMI) form and can be directly applied to the optimization of systemoutput matrix and direct transmission matrix, as well as the minimization of the frequency response bound. In addition, the dimension of the LMI is in the same order as that of the system matrices. (C) 2009 Elsevier B.V. All rights reserved.
We consider the multi-inputmulti-output (MIMO) system of vector valued band-limited signals, which are transferred through an M x N LTI (linear time invariant) system of channels. D. Seidner and M. Feder considered t...
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We consider the multi-inputmulti-output (MIMO) system of vector valued band-limited signals, which are transferred through an M x N LTI (linear time invariant) system of channels. D. Seidner and M. Feder considered this vector sampling expansion (VSE) with the formal delta-method, which is a natural generalization of Papoulis' generalized sampling expansion (GSE) for single inputmulti-outputsystems. Later R. Venkataramani and Y. Bresler considered a more general MIMO sampling for multiband signals in the frame setting. In this work, we consider the VSE problem by using the Riesz basis method, which enables us to clarify obscurities in some of the previous works related to GSE and VSE problem. We obtain necessary and sufficient conditions for a VSE formula to hold as a Riesz basis expansion in the MIMO system. We also obtain an upper bound of the aliasing error which occurs when we apply the VSE formula to non-band-limited vector signals. (c) 2007 Elsevier Inc. All rights reserved.
There exist a close coupling relation between the wind tunnel flow field parameters, total pressure and Mach number. It is great important to solve the coupling problem of total pressure and Mach number, and useful to...
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There exist a close coupling relation between the wind tunnel flow field parameters, total pressure and Mach number. It is great important to solve the coupling problem of total pressure and Mach number, and useful to improve the control accuracy of system, to reduce adjustment time, to reforce system stability and robust. First, objected to a wind tunnel field flow, its logic model is constructed. Then, from the view point of compensation decoupling, decoupling arithmetic based on multi-variable sub-space and decoupling compensation factors is given, the parameter decoupling model of wind tunnel flow field is constructed. Last, a series of simulation experiment proves the effectiveness of the arithmetic.
A static synchronous compensator (STATCOM) may be equipped with several controllers to perform multiple control functions. However, in this paper, a study case of negative interactions between STATCOM AC and DC contro...
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A static synchronous compensator (STATCOM) may be equipped with several controllers to perform multiple control functions. However, in this paper, a study case of negative interactions between STATCOM AC and DC control is reported, which indicates that the conventional arrangement of multiple controllers for STATCOM various control functions may not always be appropriate. Hence, it is suggested that the multiple control functions of the STATCOM are implemented by a single multivariable controller, which is designed by treating the STATCOM installed in a power system as a multi-inputmulti-output control system. In this paper, an example is demonstrated, where a single two-variable controller is successfully designed to perform both STATCOM AC and DC voltage control function. (C) 2003 Elsevier Science Ltd. All rights reserved.
A novel nonlinear control scheme-robust iterative learning control (RILC) is developed in this paper. The new robust ILC system provides a general framework targeting at synthesizing learning control and robust contro...
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A novel nonlinear control scheme-robust iterative learning control (RILC) is developed in this paper. The new robust ILC system provides a general framework targeting at synthesizing learning control and robust control methods with the help of Lyapunov's direct method, thereafter being able to handle more general classes of nonlinear uncertain systems. In the proposed control scheme, learning control and variable structure control are made to function in a complementary manner. The nonlinear learning control strategy is applied directly to the structured system uncertainties which can be separated and expressed as products of unknown state-independent functions and known state-dependent functions. For non-structured system uncertainties associated with known bounding functions as the only a priori knowledge, variable structure control(VSC) strategy is applied to ensure the global asymptotic stability. In addition, important issues regarding the objective trajectory categories, resetting condition, derivative signal requirement and their relationships have been made clear in this paper. (C) 1998 Elsevier Science Ltd. All rights reserved.
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