State Estimation via Switching Observer for Systems with Outliers
نویسندگان
چکیده
منابع مشابه
channel estimation for mimo-ofdm systems
تخمین دقیق مشخصات کانال در سیستم های مخابراتی یک امر مهم محسوب می گردد. این امر به ویژه در کانال های بیسیم با خاصیت فرکانس گزینی و زمان گزینی شدید، چالش بزرگی است. مقالات متعدد پر از روش های مبتکرانه ای برای طراحی و آنالیز الگوریتم های تخمین کانال است که بیشتر آنها از روش های خاصی استفاده می کنند که یا دارای عملکرد خوب با پیچیدگی محاسباتی بالا هستند و یا با عملکرد نه چندان خوب پیچیدگی پایینی...
State Estimation on Switching Systems via High-Order Sliding Modes
In this chapter, the problem of continuous and discrete state estimation for switched nonlinear systems is solved using High-Order Sliding-Mode techniques. In the first part of this chapter, the systems with exogenous switchings are studied. The solvability of the observation problem, for the continuous and discrete states, is proposed using structural properties of the system. This structural ...
متن کاملRefinement Methods for State Estimation via Sylvester-Observer Equation
We present new iterative methods based on refinement process for solving large sparse Sylvesterobserver equations applied in state estimation of a continuous-time system. These methods use projection methods to produce low-dimensional Sylvester-observer matrix equations that are solved by the direct methods. Moreover, the refinement process described in this paper has the capability of improvin...
متن کاملRobust State Estimation with Sparse Outliers
One of the major challenges for state estimation algorithms, such as the Kalman lter, is the impact of outliers that do not match the assumed Gaussian process and measurement noise. When these errors occur they can induce large state estimate errors and even lter divergence. This paper presents a robust recursive ltering algorithm, the l1-norm lter, that can provide reliable state estimates in ...
متن کاملA Switching Observer for Human Perceptual Estimation.
Human perceptual inference has been fruitfully characterized as a normative Bayesian process in which sensory evidence and priors are multiplicatively combined to form posteriors from which sensory estimates can be optimally read out. We tested whether this basic Bayesian framework could explain human subjects' behavior in two estimation tasks in which we varied the strength of sensory evidence...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Transactions of the Society of Instrument and Control Engineers
سال: 2011
ISSN: 0453-4654,1883-8189
DOI: 10.9746/sicetr.47.81