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18
Dynamic Analysis of a Predator-Prey (Pest) Model with Disease in Prey and Involving an Impulsive Control Strategy
"... The dynamic behaviors of a predator-prey pest model with disease in prey and involving an impulsive control strategy to release infected prey at fixed times are investigated for the purpose of integrated pest management. Mathematical theoretical works have been pursuing the investigation of the loc ..."
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The dynamic behaviors of a predator-prey pest model with disease in prey and involving an impulsive control strategy to release infected prey at fixed times are investigated for the purpose of integrated pest management. Mathematical theoretical works have been pursuing the investigation
A Prey Predator Model with Vulnerable Infected Prey Consisting of Non-Linear Feedback
, 2015
"... Abstract This paper investigates the dynamical complexities of a prey predator model with susceptible and infected (SI) prey with nonlinear feedback. A nonlinear feedback mathematical model is proposed and analyzed to study the predator interaction with infected prey. It has been assumed that the s ..."
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Abstract This paper investigates the dynamical complexities of a prey predator model with susceptible and infected (SI) prey with nonlinear feedback. A nonlinear feedback mathematical model is proposed and analyzed to study the predator interaction with infected prey. It has been assumed
Validation of Infinite Impulse Response Multilayer Perceptron for Modelling Nuclear Dynamics
, 2008
"... Artificial neural networks are powerful algorithms for constructing nonlinear empirical models from operational data. Their use is becoming increasingly popular in the complex modeling tasks required by diagnostic, safety, and control applications in complex technologies such as those employed in t ..."
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Artificial neural networks are powerful algorithms for constructing nonlinear empirical models from operational data. Their use is becoming increasingly popular in the complex modeling tasks required by diagnostic, safety, and control applications in complex technologies such as those employed
Synchronization of Impulsive Real and Complex Van der Pol Oscillators
, 2015
"... Nonlinear systems involving impulse effects, appear as a natural description of observed evolu-tion phenomena of several real world problems, for example, many biological phenomena involv-ing thresholds, bursting rhythm models in medicine and biology, optimal control models in eco-nomics, population ..."
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Nonlinear systems involving impulse effects, appear as a natural description of observed evolu-tion phenomena of several real world problems, for example, many biological phenomena involv-ing thresholds, bursting rhythm models in medicine and biology, optimal control models in eco
Nonlinear Commuted Synthesis of Bowed Strings
, 2002
"... A commuted-synthesis model for bowed strings is driven by a separate nonlinear model of bowed-string dynamics. This gives the desirable combination of a full range of complex bow-string interaction behavior together with an efficiently implemented body resonator. A “single-hair bow” may control a pu ..."
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A commuted-synthesis model for bowed strings is driven by a separate nonlinear model of bowed-string dynamics. This gives the desirable combination of a full range of complex bow-string interaction behavior together with an efficiently implemented body resonator. A “single-hair bow” may control a
Asymptotically Stable Walking for Biped Robots: Analysis via Systems with Impulse Effects
"... Abstract—Biped robots form a subclass of legged or walking robots. The study of mechanical legged motion has been motivated by its potential use as a means of locomotion in rough terrain, as well as its potential benefits to prothesis development and testing. This paper concentrates on issues relate ..."
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careful formulation of the robot model as a system with impulse effects and the extension of the method of Poincaré sections to this class of models. Index Terms—Control systems, limit cycles, mechanical systems, nonlinear systems, robot dynamics. I.
Whole-Body Trajectory Optimization for Humanoid Falling
"... Abstract — We present an optimization-based control strategy for generating whole-body trajectories for humanoid robots in order to minimize damage due to falling. In this work, the falling problem is formulated using optimal control where we seek to minimize the impulse on impact with the ground, s ..."
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, subject to the full-body dynamics and constraints of the robot in joint space. We extend previous work in this domain by numerically approximating the resulting optimal control, generating open-loop trajectories by solving an equivalent nonlinear programming problem. Compared to previous results
Approved as to style and content by:
, 2014
"... This Open Access Dissertation is brought to you for free and open access by the Dissertations and Theses at ScholarWorks@UMass Amherst. It has ..."
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This Open Access Dissertation is brought to you for free and open access by the Dissertations and Theses at ScholarWorks@UMass Amherst. It has
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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of the signal complexity. In practice, this enables lower sampling rates that can be more easily achieved by current hardware designs. The primary bottleneck that limits ADC sam-pling rates is quantization, i.e., higher bit-depths impose lower sampling rates. Thus, the decreased sampling rates of CS ADCs
Results 1 - 10
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18
