نتایج جستجو برای: linear time invariant lti system
تعداد نتایج: 4002128 فیلتر نتایج به سال:
one of the challenges in non-destructive testing schemes using the ultrasound pulse-echo technique is to identify those defects whose sizes are less than or equal to the detection resolution that is dependent on the width of the ultrasound pulse. existing methods also require a reference specimen of the same defective material, which may not be available in some cases. we present a new method f...
In this paper, a new control scheme, called additive-state-decomposition-based tracking control, is proposed to solve the tracking (rejection) problem for rotational position of the TORA (a nonlinear nonminimum phase system). By the additive state decomposition, the tracking (rejection) task for the considered nonlinear system is decomposed into two independent subtasks: a tracking (rejection) ...
Practical applications of smart structure technology to active acoustic noise control demand high performance at low cost. Typically, performance increases achieved by reducing control system latency are expensive. Furthermore, sonar echo cancellation is concerned with a wide frequency range for which linear time-invariant (LTI) controllers provide inadequate performance, and no direct error me...
In the decentralized control of linear time-invariant (LTI) systems, the notion of decentralized fixed modes (DFMs) was introduced to capture those modes which are immovable using LTI controllers. However, some DFMs can be moved using more complicated controllers. Recently a so-called “quotient system” associated with the original plant was investigated and it was proven that its DFMs, which we...
An aeroservoelastic system can be described as a gridding-based linear parameter-varying (LPV) model, whose dynamic characteristics usually vary with the airspeed. Due to high order of system, it is necessary perform reduction on LPV models overcome control design challenges. However, when directly extending time-invariant (LTI) model technologies states reduced-order LTI generated separately a...
The robust stabilization of the cart pendulum system was studied under structured uncertainty with a continuous-time periodic controller. The cart pendulum system was considered here as the test set-up as it is a wellknown example of an unstable nonminimum phase system. The uncertainty in the system rose due to measurement error or dry friction in it. In this paper, the robust stability of the ...
This paper deals with the exponential stability analysis of decentralized, sampled-data, Linear Time Invariant (LTI) control systems asynchronous sensors and actuators. We consider case where each controller in decentralized setting has its own sampling actuation frequency, which translates to asynchrony between Additionally, may be induced by delays instants update as relevant a networked cont...
Introduction For linear time-invariant (LTI) setpoint control systems, input shaping is a powerful technique to reduce residual vibrations in those systems as shown in [1]. The targeting trajectory can be optimized (e.g. minimize targeting time or energy consumption) through convex optimization techniques. A broad overview of real-time or nearly real-time applications has been given in [2]. Inp...
Presently, linear parameter varying (LPV) systems are broadly used in a wide range of applications such as in aerospace, energy, health, mechatronics, process control, computational systems, etc. Essentially, an LPV system is a linear system whose parameters are functions of a scheduling signal. It can be described by state-space or input/output models, in continuous or discrete-time. The incre...
A new approach is proposed for the pole placement of non-linear systems using the state feedback and fuzzy system. We use a new online fuzzy training method in order to identify and obtain a fuzzy model for an unknown non-linear system using only the system input and output. Then we linearize this identified model at each sampling time to have an approximate linear time-varying system. In order...
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