نتایج جستجو برای: linear time invariant lti system
تعداد نتایج: 4002128 فیلتر نتایج به سال:
Abstract. This work address the general problem of resilient control of unknown stochastic linear time-invariant (LTI) systems in the presence of sensor attacks. Motivated by a vehicle cruise control application, this work considers a first order system with multiple measurements, of which a bounded subset may be corrupted. A frequency-domain-designed resilient adaptive controller is introduced...
This paper presents a low complexity architecture for a linear periodically time varying (LPTV) filter. This architecture is based on multi-input multi-output(MIMO) representation of LPTV filters. The input signal is divided into blocks and parallel processing is incorporated, there by considerably reducing the effective input sampling rate. A single multiplier can be shared for each linear tim...
A variety of systems can be faithfully modeled as linear with coefficients that vary periodically with time or Linear Time-Periodic (LTP). Examples include anisotropic rotorbearing systems, wind turbines, satellite systems, etc... A number of powerful techniques have been presented in the past few decades, so that one might expect to model or control an LTP system with relative ease compared to...
The design of partial-band linear periodically time-varying systems (PBTV) imitating linear time-invariant (LTI) systems is approached using a relative ` error criterion. This error criterion results from a natural extension of the Chebyshev error criterion for the design of LTI systems. A complete analysis of the error criterion is presented. An algorithm is introduced which nds a locally opti...
A new method for predicting timing jitter caused by device noise in current-mode logic (CML) frequency dividers is presented. Device noise transformation into jitter is modeled as a linear time-varying (LTV) process, as opposed to a previously published method, which models jitter generation as a linear time-invariant (LTI) process. Predictions obtained using the LTV method match jitter values ...
This paper presents an area efficient architecture for a linear periodically time varying (LPTV) filter. It is developed from the output switching representation of LPTV filter. In this representation, an N-tap,M Period LPTV filter can be realized by M linear time invariant (LTI) filters of N taps each connected in parallel with an M periodic switch at the output. We devloped an area efficient ...
State estimation of linear time-invariant (LTI) systems by using a network distributed observers is studied in this paper. We assume that each observer has access to local measurement which may be insufficient provide the observability system, but ensemble all measurements guarantees observability. In condition, objective design state approach such that, while can exchange their estimated vecto...
The main goal behind coordinate transformation (warping) of a Linear Time Invariant (LTI) system is to represent its signals in terms of new basis functions that better suit the application in hand. Unitary operators simplify the analysis considerably; therefore, they are used to derive the relations between variables in the original and warped domains. These relations show that an LTI system c...
Recently developed neuromorphic vision sensors have become promising candidates for agile and autonomous robotic applications primarily due to, in particular, their high temporal resolution and low latency. Each pixel of this sensor independently fires an asynchronous stream of “retinal events" once a change in the light field is detected. Existing computer vision algorithms can only process pe...
This paper deals with the stability of the large-scale interconnected systems with a constrained control structure. It is assumed that the information flow matrix for an interconnected control system is given, which represents which outputs of the system are available for constructing any input signal of the system. The notion of decentralized overlapping fixed mode (DOFM) is introduced, and it...
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