User profiles for Jay A. Farrell

Jay Farrell

Professor of Electrical and Computer Engineering, University of California, Riverside
Verified email at ece.ucr.edu
Cited by 18982

Stability and approximator convergence in nonparametric nonlinear adaptive control

JA Farrell - IEEE Transactions on Neural Networks, 1998 - ieeexplore.ieee.org
This paper investigates nonparametric nonlinear adaptive control under passive learning
conditions. Passive learning refers to the normal situation in control applications in which the …

Filament-based atmospheric dispersion model to achieve short time-scale structure of odor plumes

JA Farrell, J Murlis, X Long, WEI Li… - Environmental fluid …, 2002 - Springer
This article presents the theoretical motivation, implementation approach, and example
validation results for a computationally efficient plume simulation model, designed to replicate …

[BOOK][B] Adaptive approximation based control: unifying neural, fuzzy and traditional adaptive approximation approaches

JA Farrell, MM Polycarpou - 2006 - books.google.com
A highly accessible and unified approach to the design and analysis of intelligent control
systems Adaptive Approximation Based Control is a tool every control designer should have in …

Command filtered backstepping

JA Farrell, M Polycarpou, M Sharma… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
Implementation of backstepping becomes increasingly complex as the order of the system
increases. This increasing complexity is mainly driven by the need to compute command …

Command filtered adaptive backstepping

W Dong, JA Farrell, MM Polycarpou… - … on Control Systems …, 2011 - ieeexplore.ieee.org
Implementation of adaptive backstepping controllers requires analytic calculation of the
partial derivatives of certain stabilizing functions. It is well documented that, as the order of a …

Chemical plume tracing via an autonomous underwater vehicle

JA Farrell, S Pang, W Li - IEEE Journal of Oceanic Engineering, 2005 - ieeexplore.ieee.org
Olfactory-based mechanisms have been hypothesized for biological behaviors including
foraging, mate-seeking, homing, and host-seeking. Autonomous underwater vehicles (AUVs) …

Plume mapping via hidden Markov methods

JA Farrell, S Pang, W Li - IEEE Transactions on Systems, Man …, 2003 - ieeexplore.ieee.org
This paper addresses the problem of mapping likely locations of a chemical source using
an autonomous vehicle operating in a fluid flow. The paper reviews biological plume-tracing …

Autonomous underwater vehicle navigation

PA Miller, JA Farrell, Y Zhao… - IEEE Journal of Oceanic …, 2010 - ieeexplore.ieee.org
This paper considers the vehicle navigation problem for an autonomous underwater vehicle
(AUV) with six degrees of freedom. We approach this problem using an error state …

Distributed continuous-time optimization: nonuniform gradient gains, finite-time convergence, and convex constraint set

P Lin, W Ren, JA Farrell - IEEE Transactions on Automatic …, 2016 - ieeexplore.ieee.org
In this paper, a distributed optimization problem with general differentiable convex objective
functions is studied for continuous-time multi-agent systems with single-integrator dynamics. …

Cooperative control of multiple nonholonomic mobile agents

W Dong, JA Farrell - IEEE Transactions on Automatic Control, 2008 - ieeexplore.ieee.org
This paper considers two cooperative control problems for nonholonomic mobile agents. In
the first problem, we discuss the design of cooperative control laws such that a group of …