This paper presents a novel approach to the problem of discrete time output feedback sliding mode control design, where the system to be controlled is non-minimum phase. The method described in this paper applies to uncertain (square) systems with matched uncertainties. A connection between previously established output feedback min-max controllers and discrete time sliding mode controllers wil...

Abstract Soil moisture atmosphere interactions are key elements of the regional climate system. There is a well-founded hope that more accurate representation soil moisture-precipitation feedback would improve simulation summer precipitation on daily to seasonal, time scales. However, uncertainties have persistently remained as simulated strongly sensitive model deep convection. Here we assess ...

Computer networks use congestion feedback from the routers and destinations to control the transmission load. Delivering timely congestion feedback is essential to the performance of networks. Reaction to the congestion can be more effective if faster feedback is provided. Current TCP/IP networks use timeout, duplicate ACKs and explicit congestion notification (ECN) to deliver the congestion fe...

We study in this paper how explicit user feedback can be used by a case-based reasoning system to improve the quality of its retrieval phase. More specifically, we explore how both ranking feedback and relevance feedback can be exploited to modify the weights of case features. We propose some options to cope with each type of feedback. We also evaluate, in an interactive setting, their impact o...

The volume of course-related information available to students is rapidly increasing. This abundance of information has created the need to help students find, organize, and use resources that match their individual goals, interests, and current knowledge. Our system, CourseAgent, presented in this paper, is an adaptive community-based hypermedia system, which provides social navigation course ...

Due to the number of potential applications and their inherent complexity, automatic capture and analysis of actions have become an active research area. In this paper, an implicit method for recognizing actions in a video is proposed. Existing implicit methods work on the regions of subjects, but our proposed system works on the surrounding regions, called negative spaces, of the subjects. Ext...

In this paper, we propose an improved technique for congestion control, named as ping-pong flow control (PPFC), for asynchronous transfer mode (ATM) available bit rate (ABR) traffic. This is a rate-based flow control scheme, in which the rate regulation is achieved by directly adjusting the transmission rate in the source end station. The proposed algorithm uses a bipolar feedback strategy, whi...

This paper proposes the use of congestion pricing for achieving relative service differentiation in satellite IP networks. The idea is to use congestion pricing as an effective approach to control traffic rate for Transmission Control Protocol (TCP) flows, with Explicit Congestion Notification as a congestion feedback mechanism, by taking into account network users’ willingness-to-pay. With mul...

In this paper we investigate the effectiveness of Relevance Feedback algorithms inspired by Quantum Detection in the context of the Dynamic Domain track. Documents and queries are represented as vectors; the query vector is projected into the subspace spanned by the eigenvector which maximizes the distance between the distribution of quantum probability of relevance and the distribution of quan...