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Riccati Observers for Position Estimation Using (Pseudo) Range and Biased Velocity Information

机译:Riccati观察者用于使用(伪)范围和偏置速度信息的位置估计

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This paper addresses the problems of estimating the position of an object moving in n( ≥ 2) -dimensional Euclidean space using possibly biased velocity measurements and possibly biased range measurements of one or multiple source points. The proposed solutions exploit the Continuous Riccati Equation (CRE) to calculate observer gains yielding global uniform exponential stability of zero estimation errors. These results are obtained under persistent excitation (p.e.) conditions whose satisfaction i) depends on the number and relative positioning of source points and on the object motion properties, and ii) ensures uniform observability and good conditioning of the CRE solutions. In particular, these conditions can be satisfied in the case of a single source point and a moving object. Simulation results illustrate the performance of the proposed observers in this latter case.
机译:本文解决了使用可能偏置的速度测量和一个或多个源点的偏置速度测量和可能偏置的范围测量的N(≥2) - 二维欧几里德空间移动的对象位置的问题。所提出的解决方案利用连续的Riccati等式(CRE)来计算观察者收益,从而产生全局均匀估计误差的指数稳定性。这些结果是在满足I)的持续激发(P.E.)条件下获得的,取决于源点的数量和相对定位和对象运动性能,并且II)确保CRE解决方案的均匀可观察性和良好的调理。特别地,在单个源点和移动物体的情况下可以满足这些条件。仿真结果说明了后一种情况下提出的观察者的性能。

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