Dr Morgan Jones

School of Electrical and Electronic Engineering

Lecturer in Machine Learning and Control Theory

Morgan Jones
Profile picture of Morgan Jones
morgan.jones@sheffield.ac.uk
Amy Johnson Building

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 ±¬ÁÏTV, UK.

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

Research interests
  • 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

  • Jones M, Nie Y & Peet MM (2024) . IFAC-PapersOnLine, 58(17), 127-132.
  • Jones M (2024) . IEEE Transactions on Automatic Control, 69(11), 8112-8119.

Conference proceedings

  • Machado GF & Jones M (2024) . 2024 American Control Conference (ACC) (pp 2879-2884), 10 July 2024 - 12 July 2024.
  • Jones M & Peet MM (2023) . 2023 American Control Conference (ACC) (pp 4130-4135), 31 May 2023 - 2 June 2023.
  • Huang R, Jones M & Lin X (2023) . 2023 American Control Conference (ACC) (pp 3093-3098), 31 May 2023 - 2 June 2023.

Preprints

  • Jin S, Nie Y & Jones M (2025) Feedback Linearisation with State Constraints.
  • Jones M & Peet M (2025) Bounding the Error of Value Functions in Sobolev Norm Yields Bounds on Suboptimality of Controller Performance.
  • Jones M & Anderson J (2024) Approximate Projections onto the Positive Semidefinite Cone Using Randomization.
  • Jones M, Nie Y & Peet MM (2024) Model Predictive Bang-Bang Controller Synthesis via Approximate Value Functions.
  • Jones M (2023) Learning Polynomial Representations of Physical Objects with Application to Certifying Correct Packing Configurations.
Teaching activities
  • ACS234 Systems Engineering Mathematics II

Links

PhD position in Control Theory  Information and Communication Engineering