نتایج جستجو برای: disturbance rejection
تعداد نتایج: 76522 فیلتر نتایج به سال:
In this paper, we are concerned with a cascade of ODE-wave systems with the control actuator-matched disturbance at the boundary of the wave equation. We use the sliding mode control (SMC) technique and the active disturbance rejection control method to overcome the disturbance, respectively. By the SMC approach, the disturbance is supposed to be bounded only. The existence and uniqueness of so...
This paper analyzes the performance of discrete linear time varying (LTV) control of discrete linear periodically time varying (LPTV) plants for l2 disturbance rejection. It extends the results of [11-13] for linear periodic controllers to general LTV control of LPTV plants. It is shown that LPTV control provides strictly better control performance than linear strictly time varying control for ...
This paper deals with disturbance rejection with stability based on the estimated state and disturbances. The unknown disturbances are combination of sinusoidal disturbances with unknown frequencies, unknown phases and amplitudes. The only information of the unknown disturbances is the number of distinctive frequencies inside. The class of nonlinear systems considered in this paper consists of ...
Existing large industrial control systems often exhibit poor tracking and disturbance rejection capabilities due to a large number of decentralized control loops. To improve these, a stabilizer design procedure is proposed based on H∞ optimization. The procedure is simple to apply and requires only some of the closed-loop transfer functions. Application of the approach in the Syncrude utility p...
This paper presents a new approach to rejection of complex-valued sinusoidal disturbances acting at the output of a discrete-time stable linear plant with unknown dynamics. It is assumed that the frequency of the sinusoidal disturbance is known, and that the output signal is contaminated with wideband measurement noise. The disturbance rejection control rule is first derived and analyzed for a ...
We present algorithms to exponentially reject periodic and almost periodic disturbances, the motivating application being a rejection of reel eccentricity induced disturbances in tape-drive systems. The prevalent periodic disturbance rejection algorithms rely on a constant gain approximation of the system at a particular frequency. These are inadequate for this application because a tape-drive ...
A neural model-based predictive control scheme is proposed for dealing with steady-state offsets found in standard MPC schemes. This structure is based on a constrained local instantaneous linear model-based predictive control methodologies together with a static offset pre-filter for assuring free tracking errors and disturbance rejection features. A non-linear state-space neural network archi...
This paper examines the design of model predictive control using nonminimal state space models, in which the state variables are chosen as the set of measured input and output variables and their past values. It shows that the proposed design approach avoids the use of an observer to access the state information and, as a result, the disturbance rejection, particularly the system input disturba...
This paper considers the stabilization problem of the class of continuous-time linear stochastic hybrid systems with Wiener process. The ∞ state feedback stabilization problem is treated. A state feedback controller with constant gain that does not require access to the system mode is designed. LMI-based conditions are developed to design the state feedback controller with constant gain that st...
This paper presents an adaptive stable generalized predictive control using Takagi-Sugeno-Kang (TSK) fuzzy model for nonlinear discrete-time with time-delay systems. This controller is composed of a fuzzy second-order time-delay identifier with on-line parameter estimation, and a stable generalized predictive control with abilities of accurate tracking and disturbance rejection. Numerical simul...
نمودار تعداد نتایج جستجو در هر سال
با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید