The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper presents a strategy for designing a robust discrete-time adaptive controller for stabilizing continuous-time linear time invariant (LTI) plants. Such plants may be unstable and non-inversely stable. A reduced order plant model is considered to design the adaptive controller. The control design is based on the discretization of the plant with the use of a multirate sampling device with fast...
This paper deals with a design problem of non-minimum phase systems with input constraints and unknown disturbance using the adaptive robust anti-windup generalized predictive control (RAGPC) scheme. In essence non-minimum phase systems are characterized by presence of dead time and invariably has unstable inverse. This effect is not desirable in control processes especially when problems of static...
In this work we focus on iterative learning control (ILC) for iteratively varying reference trajectories which are described by a high-order internal model. The high-order internal model (HOIM) is formulated as a polynomial between two consecutive iterations. The classical ILC with iteratively invariant reference trajectories, on the other hand, is a special case of HOIM where the polynomial renders...
In this paper, the problem of designing adaptive fault-tolerant Hinfin compensation controllers for linear time-invariant continuous-time systems is presented. Linear matrix inequalities (LMIs) are developed with multiple Lyapunov functions to find a stabilizing controller gain such that the disturbance attenuation performance is optimized. Direct adaptive-state feedback control schemes are proposed...
Adaptive control systems are designed to achieve desired control performance when plant parameters gains are unknown, or possibly slowly changing. Highly calculation technology is developed, more important discrete-time adaptive control structure is. Because the relative degree condition for strict positive realness (SPR) of the discrete-time error transfer function is different from the condition...
This paper studies the gain margins (GM) of multivariable model reference adaptive control (MRAC) systems: the parameter range of a control gain matrix in a designed MRAC system for maintaining the desired closed-loop signal boundedness and asymptotic output tracking. Analytical GM results are obtained for both continuous-time and discrete-time direct MRAC schemes applied to multi-input multi-output...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.