Dr Morgan Jones

School of Electrical and Electronic Engineering

Lecturer in Machine Learning and Control Theory

Photo of Dr Morgan Jones
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morgan.jones@sheffield.ac.uk
+44 114 222 5139

Full contact details

Dr Morgan Jones
School of Electrical and Electronic Engineering
Amy Johnson Building
Portobello Street
Sheffield
S1 3JD
Profile

Morgan Jones received the B.S. and Mmath in Mathematics from The University of Oxford, England in 2016. He received his PhD in Aerospace Engineering from Arizona State University (ASU), USA in 2021. Currently, he is a lecturer in Machine Learning and Control Theory at the University of Sheffield, UK.

At Arizona State University Morgan was a member of Cybernetic Systems and Controls Laboratory (CSCL) from 2016 till 2021.

Research interests

Details of my research area:

  • Dynamic programming, reinforcement learning, battery scheduling, path planning and obstacle avoidance.
  • Optimal control: Developing convex optimization tools to solve the Hamilton Jacobi Bellman (HJB) PDE.
  • Nonlinear systems analysis: Approximating regions of attraction, maximal invariant sets, reachable sets and attractor sets.
  • Sum-of-Squares (SOS) programming.
Publications

Journal articles

Conference proceedings papers

Preprints

  • Jones M, Nie Y & Peet MM (2024) Model Predictive Bang-Bang Controller Synthesis via Approximate Value Functions. RIS download Bibtex download
  • Jones M (2023) Learning Polynomial Representations of Physical Objects with Application to Certifying Correct Packing Configurations. RIS download Bibtex download
  • Jones M (2023) Sublevel Set Approximation in The Hausdorff and Volume Metric with Application to Path Planning and Obstacle Avoidance. RIS download Bibtex download
  • Jones M & Peet MM (2022) Existence of Partially Quadratic Lyapunov Functions That Can Certify The Local Asymptotic Stability of Nonlinear Systems. RIS download Bibtex download
  • Lugnani L, Jones M, Alberto LFC, Peet M & Dotta D (2021) Combining Trajectory Data with Analytical Lyapunov Functions for Improved Region of Attraction Estimation. RIS download Bibtex download
  • Jones M & Peet MM (2021) Converse Lyapunov Functions and Converging Inner Approximations to Maximal Regions of Attraction of Nonlinear Systems. RIS download Bibtex download
  • Jones M & Peet MM (2020) Polynomial Approximation of Value Functions and Nonlinear Controller Design with Performance Bounds. RIS download Bibtex download
  • Jones M & Peet M (2020) A Generalization of Bellman's Equation with Application to Path Planning, Obstacle Avoidance and Invariant Set Estimation. RIS download Bibtex download
  • Jones M & Peet MM (2019) Relaxing The Hamilton Jacobi Bellman Equation To Construct Inner And Outer Bounds On Reachable Sets. RIS download Bibtex download
  • Jones M & Peet MM (2019) Using SOS and Sublevel Set Volume Minimization for Estimation of Forward Reachable Sets. RIS download Bibtex download
  • Jones M & Peet MM (2018) Extensions of the Dynamic Programming Framework: Battery Scheduling, Demand Charges, and Renewable Integration. RIS download Bibtex download
  • Jones M & Peet MM (2018) Using SOS for Optimal Semialgebraic Representation of Sets: Finding Minimal Representations of Limit Cycles, Chaotic Attractors and Unions. RIS download Bibtex download
  • Jones M & Peet MM (2018) A Dynamic Programming Approach to Evaluating Multivariate Gaussian Probabilities. RIS download Bibtex download
  • Jones M & Peet MM (2017) Solving Dynamic Programming with Supremum Terms in the Objective and Application to Optimal Battery Scheduling for Electricity Consumers Subject to Demand Charges. RIS download Bibtex download
Teaching interests

2022: ACS234 Systems Engineering Mathematics II