Particle filters (PFs) are widely used for nonlinear signal processing in wireless sensor networks (WSNs). However, the measurement uncertainty makes the WSN observations unreliable to the actual case and also degrades the estimation accuracy of the PFs. In addition to the algorithm design, few works focus on improving the likelihood calculation method, since it can be pre-assumed by a given di...

The camera stabilizer stabilizes the camera’s line of sight by isolating the camera from the model uncertainties, disturbances of operating environment and system movements. This paper presents a voltage-base optimal adaptive fuzzy sliding mode control for camera stabilizer. In this proposed control method, a voltage-base sliding mode controller is applied. But unfortunately, undesirable ...

In this paper, a new guidance law is designed to improve the performance of a homing missiles guidance system in terminal phase. For this purpose first of all, the two dimensions equations of motion are formulated, then the approximation dynamic of missile control loop is added to these equations which are nonlinear whit unmatched uncertainty. Then, a new adaptive back-stepping method is develo...

Software for a growing number of problem domains has complex, time varying behavior and unpredictable resource demands (e.g., WWW servers and parallel in-put/output systems). While current performance analysis tools provide insights into application dynamics and the causes of poor performance, with a posteri-ori analysis one cannot adapt to temporally varying application resource demands and sy...

We present POAPS, a novel planning system for defining PartiallyObservable Markov Decision Processes (POMDPs) that abstracts away from POMDP details for the benefit of non-expert practitioners. POAPS includes an expressive adaptive programming language based on Lisp that has constructs for choice points that can be dynamically optimized. Non-experts can use our language to write adaptive progra...

Generalized linear models (GLMs) are a very useful tool in data analysis. In this paper we project features from a dynamical system model of the EEG into a non-linear basis space. The responses from the basis functions are then mapped via a logistic classifier onto a class-posterior decision space. This mapping is parameterized via a set of weights which, importantly, we allow to be dynamically...

This paper first describes the hypertext system KN-AHS which adapts to users’ presumed domain knowledge, and discusses the support that the user modeling shell system BGP-MS can provide for this adaptation. The aim of constructing KN-AHS was to demonstrate the feasibility of user modeling with BGP-MS in a “normal” hardware and software environment that is frequently found in the workplace. Basi...

This paper presents a novel intermediate view synthesis method based on adaptive belief propagation (BP) algorithm and view interpolation. First, we raise the accuracy in disparity estimation by introducing an adaptive BP algorithm. Then, image pairs are divided into three kinds of regions. Finally, intermediate view is obtained by applying a new interpolation method to each region. Experimenta...