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81
Computing and Information A NUMERICAL ALGORITHM FOR SET-POINT REGULATION OF NON-LINEAR PARABOLIC CONTROL SYSTEMS
"... Abstract. In this paper we hope to draw attention to a particularly simple and extremely flexible design strategy for solving a wide class of “set-point ” regulation problems for nonlinear parabolic boundary control systems. By this we mean that the signals to be tracked and disturbances to be rejec ..."
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. In the examples we have employed unbounded sensing and actuation but the method works equally well for bounded input and output operators and even finite dimensional nonlinear control systems. Our examples include: multi-input multi-output regulation for a boundary controlled viscous Burgers ’ equation; control
A NUMERICAL ALGORITHM FOR SET-POINT REGULATION OF NON-LINEAR PARABOLIC CONTROL SYSTEMS
"... Abstract. In this paper we hope to draw attention to a particularly simple and extremely flexible design strategy for solving a wide class of “set-point ” regulation problems for nonlinear parabolic boundary control systems. By this we mean that the signals to be tracked and disturbances to be rejec ..."
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. In the examples we have employed unbounded sensing and actuation but the method works equally well for bounded input and output operators and even finite dimensional nonlinear control systems. Our examples include: multi-input multi-output regulation for a boundary controlled viscous Burgers ’ equation; control
Guaranteeing Communication Quality in Real World WSN Deployments
"... April 29, 2011Für UnsShe had never before seen a rabbit with either a waistcoat-pocket, or a watch to take out of it, and burning with curiosity, she ran across the field after it Lewis CarrollThe following document, written under the supervision of Dr. reviewed by: ..."
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April 29, 2011Für UnsShe had never before seen a rabbit with either a waistcoat-pocket, or a watch to take out of it, and burning with curiosity, she ran across the field after it Lewis CarrollThe following document, written under the supervision of Dr. reviewed by:
1Spatial Compressive Sensing for MIMO Radar
"... Abstract—We study compressive sensing in the spatial domain to achieve target localization, specifically direction of arrival (DOA), using multiple-input multiple-output (MIMO) radar. A sparse localization framework is proposed for a MIMO array in which transmit and receive elements are placed at ra ..."
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Abstract—We study compressive sensing in the spatial domain to achieve target localization, specifically direction of arrival (DOA), using multiple-input multiple-output (MIMO) radar. A sparse localization framework is proposed for a MIMO array in which transmit and receive elements are placed
A New Approach to Control of Robot
"... Abstract-In this paper, a new and simple method to design a robust controller for a robotic system is proposed. The presented work expands on previous research into the uses of robust control design methodology. Specifically, we combined quantitative feedback theory (QFT) with the fuzzy logic contr ..."
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dynamics. Lastly nonlinear simulation for tracking problem in an arbitrary path has been carried out which indicates successful design of QFT and Fuzzy controllers. Keywords-QFT, loop shaping, prefilter, fuzzy control, nonlinear system. I. INTRODUCTION The main difference between multiple-input
SIMULATION, DEVELOPMENT AND DEPLOYMENT OF MOBILE WIRELESS SENSOR NETWORKS FOR MIGRATORY BIRD TRACKING
, 2012
"... This thesis presents CraneTracker, a multi-modal sensing and communication system for monitoring migratory species at the continental level. By exploiting the robust and extensive cellular infrastructure across the continent, traditional mobile wireless sensor networks can be extended to enable reli ..."
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This thesis presents CraneTracker, a multi-modal sensing and communication system for monitoring migratory species at the continental level. By exploiting the robust and extensive cellular infrastructure across the continent, traditional mobile wireless sensor networks can be extended to enable
6 Global Feed-forward Adaptive Fuzzy Control of Uncertain MIMO Nonlinear Systems
"... Abstract This study proposes a novel adaptive control approach using a feedforward Takagi-Sugeno (TS) fuzzy approximator for a class of highly unknown multi-input multi-output (MIMO) nonlinear plants. First of all, the design concept, namely, feedforward fuzzy approximator (FFA) based control, is i ..."
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feasible gain solution of the derived linear matrix inequality (LMI). Meanwhile, the highly uncertain holonomic constrained systems are taken as applications with either guaranteed robust tracking performances or asymptotic stability in a global sense. It is demonstrated that the proposed adaptive control
RICE UNIVERSITY Regime Change: Sampling Rate vs. Bit-Depth in Compressive Sensing
, 2011
"... The compressive sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by exploiting inherent structure in natural and man-made signals. It has been demon-strated that structured signals can be acquired with just a small number of linear measurements, on the order of t ..."
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The compressive sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by exploiting inherent structure in natural and man-made signals. It has been demon-strated that structured signals can be acquired with just a small number of linear measurements, on the order
On Dynamic Resource Provisioning for Consolidated Servers in Virtualized Data Centers
"... Server consolidation based on Operating System (OS) virtualization technologies aims to increase the total resource utilization in data centers. However, efficiently capitalizing on the available resources requires tools to automatically monitor and allocate resources to the running servers as neede ..."
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Cited by 4 (1 self)
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. Firstly, a Single Input Single Output (SISO) first-order Kalman filter is designed to dynamically allocate the CPU of individual Virtual Machines (VMs). The motivations to use Kalman filter are the nonlinear behavior of the system and the known fact that the Kalman filter is the optimum linear tracking
NEURAL CONTROL OF A 4rd ORDER LEVEL PROCESS
"... Abstract -This paper presents the applications of a neural network controller for a multivariable system of coupled tanks to evaluate the use of intelligent control techniques. We used a 4 rd order process, where the first three tanks have constant cross section of 60 cm 2 and the fourth tank has a ..."
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of tank 4. A dynamic neural network was trained to learn the non linear system characteristics guaranteeing small steady error between the plant output and the reference and almost similar transitory behaviour. The development and implementation of the proposed controller was done using Matlab
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