J. Ford

发表

Adaptive estimation of hidden semi-Markov chains with parameterised transition probabilities and exponential decaying states

John B. Moore, J. Ford, Vikram Krishnamurpthy, 1993 .

Adaptive hidden Markov model estimation and applications

J. Ford, 1998 .

Faster parameter estimation using risk-sensitive filters

John B. Moore, Jason J. Ford, Sanjeewa Athuraliya, 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

Online InverseOptimalControl forControl-Constrained Discrete-TimeSystemsonFinite and InfiniteHorizons ⋆

Timothy L. Molloy, J. Ford, T. Pérez, 2020 .

On‐line almost‐sure parameter estimation for partially observed discrete‐time linear systems with known noise characteristics

Jason J. Ford, Robert J. Elliott, John B. Moore, 2002 .

Misspecified and Asymptotically Minimax Robust Quickest Change Detection

Timothy Molloy, Jason J. Ford, Timothy L. Molloy, 2017, IEEE Transactions on Signal Processing.

Exactly Optimal Bayesian Quickest Change Detection for Hidden Markov Models

Timothy L. Molloy, J. Ford, Jasmin James, 2020, 2009.00150.

Innovation-Based Remote State Estimation Secrecy with no Acknowledgments

Justin M. Kennedy, D. Quevedo, F. Dressler, 2022, IEEE Transactions on Automatic Control.

Bayesian Quickest Change Detection of an Intruder in Acknowledgments for Private Remote State Estimation

Justin M. Kennedy, D. Quevedo, J. Ford, 2022, 2022 Australian & New Zealand Control Conference (ANZCC).

Bayesian Experimental Design With Application to Dynamical Vehicle Models

Jason J. Ford, Timothy L. Molloy, James McGree, 2021, IEEE Transactions on Robotics.

Non-Linear and Robust Filtering: From the Kalman Filter to the Particle Filter

Jason J. Ford, J. Ford, 2002 .

Filtering for Precision Guidance: The Extended Kalman Filter

Jason J. Ford, Adrian S. Coulter, J. Ford, 2001 .

Consistent HMM parameter estimation using Kerridge inaccuracy rates

Timothy Molloy, Jason J. Ford, Timothy L. Molloy, 2013, 2013 Australian Control Conference.

HMM relative entropy rate concepts for vision-based aircraft manoeuvre detection

Timothy Molloy, Jason J. Ford, Timothy L. Molloy, 2013, 2013 Australian Control Conference.

Relative Entropy Rate Based Multiple Hidden Markov Model Approximation

Jason J. Ford, John Lai, J. Ford, 2010, IEEE Transactions on Signal Processing.

A Novel Technique for Rejecting Non-Aircraft Artefacts in Above Horizon Vision-Based Aircraft Detection

Timothy L. Molloy, J. Ford, Jasmin James, 2019, 2020 International Conference on Unmanned Aircraft Systems (ICUAS).

Below Horizon Aircraft Detection Using Deep Learning for Vision-Based Sense and Avoid

Timothy Molloy, Jason J. Ford, Timothy L. Molloy, 2019, 2019 International Conference on Unmanned Aircraft Systems (ICUAS).

Learning to Detect Aircraft for Long-Range Vision-Based Sense-and-Avoid Systems

Jason J. Ford, Timothy L. Molloy, Jasmin James, 2018, IEEE Robotics and Automation Letters.

Detection of aircraft below the horizon for vision‐based detect and avoid in unmanned aircraft systems

Timothy Molloy, Jason J. Ford, Timothy L. Molloy, 2017, J. Field Robotics.

Vision-Based Estimation of Airborne Target Pseudobearing Rate using Hidden Markov Model Filters

Jason J. Ford, Luis Mejías Alvarez, John Lai, 2013, IEEE Transactions on Aerospace and Electronic Systems.

Airborne vision‐based collision‐detection system

Jason J. Ford, Luis Mejías Alvarez, John Lai, 2011, J. Field Robotics.

Characterization of Sky‐region Morphological‐temporal Airborne Collision Detection

Jason J. Ford, Luis Mejías Alvarez, John Lai, 2013, J. Field Robotics.

Sense and avoid technology developments at Queensland University of Technology

Jason J. Ford, Aaron McFadyen, Luis Mejias, 2016, IEEE Aerospace and Electronic Systems Magazine.

Optimal Bayesian Quickest Detection for Hidden Markov Models and Structured Generalisations pdf

Jason J. Ford, Timothy L. Molloy, Jasmin James, 2020, ArXiv.

Minimax Robust Quickest Change Detection in Systems and Signals With Unknown Transients

Jason J. Ford, Timothy L. Molloy, J. Ford, 2019, IEEE Transactions on Automatic Control.

Change Detection for Undermodelled Processes Using Mismatched Hidden Markov Model Test Filters

Jason J. Ford, Timothy L. Molloy, Jasmin James, 2017, IEEE Control Systems Letters.

Adaptive Estimation of Hmm Transition Probabilities

John B. Moore, Jason J. Ford, J. Ford, 1998, Fourth International Symposium on Signal Processing and Its Applications.

Relative entropy rate based model selection for linear hybrid system filters of uncertain nonlinear systems

Jason J. Ford, Onvaree Techakesari, J. Ford, 2013, Signal Process..

Relative entropy rate based design for linear hybrid system models

Jason J. Ford, Onvaree Techakesari, J. Ford, 2011, 2011 Australian Control Conference.

An infinite-horizon robust filter for uncertain hidden Markov models with conditional relative entropy constraints

Jason J. Ford, Valery A. Ugrinovskii, John Lai, 2011, 2011 Australian Control Conference.

Hidden Markov Model Filter Banks for Dim Target Detection from Image Sequences

Jason J. Ford, Rodney A. Walker, John Lai, 2008, 2008 Digital Image Computing: Techniques and Applications.

On adaptive HMM state estimation

John B. Moore, Jason J. Ford, J. Ford, 1998, IEEE Trans. Signal Process..

Adaptive and optimal under frequency load shedding

Z.Y. Dong, Jing Zhang, T.K. Saha, 2008, 2008 Australasian Universities Power Engineering Conference.

On Power System Frequency Control in Emergency Conditions

Gerard Ledwich, Jason J. Ford, Zhao Yang Dong, 2008 .

Control of Aircraft for Inspection of Linear Infrastructure

Jason J. Ford, Rodney A. Walker, Troy S. Bruggemann, 2010, IEEE Transactions on Control Systems Technology.

Vision Based Control for Fixed Wing UAVs Inspecting Locally Linear Infrastructure Using Skid-to-Turn Maneuvers

Jason J. Ford, Luis Mejías Alvarez, Steven J. Mills, 2011, J. Intell. Robotic Syst..

Inverse Open-Loop Noncooperative Differential Games and Inverse Optimal Control

Tristan Perez, Jason J. Ford, Timothy L. Molloy, 2020, IEEE Transactions on Automatic Control.

Optimal stopping and hard terminal constraints applied to a missile guidance problem

J.J. Ford, P.M. Dower, J. Ford, 2004, 2004 5th Asian Control Conference (IEEE Cat. No.04EX904).

Bushfire emergency response simulation

Jason J. Ford, Tristan Perez, Troy S. Bruggemann, 2019, El Sawah, S. (ed.) MODSIM2019, 23rd International Congress on Modelling and Simulation..

Inverse noncooperative differential games

Tristan Perez, Timothy Molloy, Jason J. Ford, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Demonstration of closed-loop airborne sense-and-avoid using machine vision

P. O'Shea, L. Mejias, J. Lai, 2012, IEEE Aerospace and Electronic Systems Magazine.

Partially observed non-linear risk-sensitive optimal stopping control for non-linear discrete-time systems

Jason J. Ford, J. Ford, 2006, Syst. Control. Lett..

Adaptive load shedding and regional protection

Gerard Ledwich, Jason J. Ford, Hassan Bevrani, 2009 .

Online Inverse Optimal Control for Control-Constrained Discrete-Time Systems on Finite and Infinite Horizons

Jason J. Ford, Timothy L. Molloy, Tristan Perez, 2020, Autom..

Towards Automated Power Line Corridor Monitoring Using Advanced Aircraft Control and Multi-source Feature Fusion

Jason J. Ford, Zhengrong Li, Troy S. Bruggemann, 2012 .

Toward automated power line corridor monitoring using advanced aircraft control and multisource feature fusion

Jason J. Ford, Luis Mejías Alvarez, Zhengrong Li, 2012, J. Field Robotics.

X-ray computed tomography of a gas-sparged stirred-tank reactor

Jason J. Ford, Theodore J. Heindel, Terrence C. Jensen, 2008 .

Nonlinear control of single-machine-infinite-bus transient stability

G. Ledwich, Z.Y. Dong, J.J. Ford, 2006, 2006 IEEE Power Engineering Society General Meeting.

Control of underactuated marine crafts with matched disturbances

Jason J. Ford, Alejandro Donaire, Justin M. Kennedy, 2021, Int. J. Control.

Online Inverse Optimal Control on Infinite Horizons

Tristan Perez, Timothy Molloy, Jason J. Ford, 2018, 2018 IEEE Conference on Decision and Control (CDC).

Exactly optimal Bayesian quickest change detection for hidden Markov models

Timothy L. Molloy, J. Ford, Jasmin James, 2020, Automatica.

Quickest Detection of Intermittent Signals With Application to Vision-Based Aircraft Detection

Timothy Molloy, Jason J. Ford, Timothy L. Molloy, 2018, IEEE Transactions on Control Systems Technology.

Vision-based detection and tracking of aerial targets for UAV collision avoidance

Jason J. Ford, Luis Mejías Alvarez, Scott McNamara, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

A study of morphological pre-processing approaches for Track-Before-Detect dim target detection

Michael Bosse, Jason J. Ford, Rodney A. Walker, 2008, ICRA 2008.

Minimax Robust Quickest Change Detection With Exponential Delay Penalties

Jason J. Ford, Timothy L. Molloy, Justin M. Kennedy, 2017, IEEE Control Systems Letters.

Discrete-time inverse optimal control with partial-state information: A soft-optimality approach with constrained state estimation

Tristan Perez, Timothy Molloy, Jason J. Ford, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Regional frequency response analysis under normal and emergency conditions

Gerard Ledwich, Jason J. Ford, Zhao Yang Dong, 2009 .

Practical stability with respect to model mismatch of approximate discrete-time output feedback control

Jason J. Ford, Onvaree Techakesari, J. Ford, 2011, 2011 Australian Control Conference.

Unsupervised Quality Prediction for Improved Single-Frame and Weighted Sequential Visual Place Recognition

Michael Milford, J. Ford, Helen Carson, 2023, 2023 IEEE International Conference on Robotics and Automation (ICRA).

Using X-ray computed tomography to measure local gas holdup in a stirred tank reactor

Jason J. Ford, J. Ford, 2006 .