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We have 33 Aerospace Engineering (control systems) PhD Projects, Programmes & Scholarships

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Aerospace Engineering (control systems) PhD Projects, Programmes & Scholarships

We have 33 Aerospace Engineering (control systems) PhD Projects, Programmes & Scholarships

PhD in Aerospace Engineering - Novel systems for small target detection and tracking, sensor resource management and control.

The project is to contribute to a major Ministry of Defence (MOD) research programme intended to develop generation after next technologies for applications in defence and security, and this project will be co-funded by Leonardo UK. Read more

Optimal Control of Dynamical Systems with Hysteresis

Hysteresis describes the phenomenon in which the value of a physical property lags behind changes in the effect causing it. Hysteresis loops arise in many engineering fields and pose interesting challenges to the control of the underlying systems. Read more

Fully Funded PhD Positions at the IMT School for Advanced Studies Lucca

The IMT School for Advanced Studies Lucca is a public university school for higher education and research. Nestled in the picturesque region of Tuscany, the IMT School stands out as a premier post-graduate institution in Europe. Read more

Optimization and control of nonlinear and partial differential equations.

A PhD position, fully funded by the National Science Foundation (NSF) is available in the Cybernetic Systems and Controls Lab (CSCL) in the Department of Mechanical and Aerospace Engineering at Arizona State University in Tempe, AZ. Read more

Multi-rate and/or non square systems and/or decentralised control

In many chemical processes there are limitations on the sampling rates and the number of inputs and outputs may not match. This affects the structure of the control law as one ends up with a so called multi-rate or non-square system , for which conventional control design is not applicable. Read more

Nonlinear Model Predictive Control

Optimization-based control explores the use of optimization algorithms for feedback control of dynamical systems. For example, model predictive control (MPC) is a widely used optimization-based control method, allowing systematic and optimal handling of constraints, nonlinearities and uncertainties. Read more

Distributed active reinforcement learning for multi-agent planning and control

With the rapid development of network-connected systems, coordination and cooperation among the subsystems/agents have become increasingly important and powerful in many control and robotics applications. Read more

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