Pouria Sarhadi

Soft Supervisory Control of Heterogeneous Dynamical Systems Using Attention Mechanisms

Klinsmann Agyei, Pouria Sarhadi

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Generalist AI Control: Towards Multi-purpose Adaptive Algorithms

Klinsmann Agyei, Pouria Sarhadi

Traditional controllers are designed for specific systems and do not transfer across different system orders and dynamics. We present a Generalist Controller, a learning-based controller capable of controlling systems of varying orders and dynamics. The approach introduces a novel dynamic state-space representation …

Deep reinforcement learning in applied control: Challenges, analysis, and insights

Klinsmann Agyei, Pouria Sarhadi, Daniel Polani

Deep reinforcement learning (DRL) algorithms have shown increasing promise for autonomous decision-making and continuous control, yet their practical value relative to established control methods remains difficult to assess under realistic control-engineering conditions. Existing evaluations are often narrow, application-specific, or based on inconsistent …

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Generalist AI control: Towards multi-purpose adaptive algorithms

Klinsmann Agyei, Pouria Sarhadi

Traditional controllers are designed for specific systems and do not transfer across different system orders and dynamics. We present a Generalist Controller, a learning-based controller capable of controlling systems of varying orders and dynamics. The approach introduces a novel dynamic state-space representation …

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Python and MATLAB for Control Systems Simulation: A Side-by-Side Tutorial

Pouria Sarhadi

This note presents a novel side-by-side tutorial on basic control systems simulation, analysis, and design using MATLAB and Python. While open-source software has advanced rapidly in areas such as artificial intelligence and machine learning, the adoption of Python for control system design …

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Python and MATLAB for Control Systems Simulation: A Side-by-Side Tutorial

Pouria Sarhadi

This note presents a novel side-by-side tutorial on basic control systems simulation, analysis, and design using MATLAB and Python. While open-source software has advanced rapidly in areas such as artificial intelligence and machine learning, the adoption of Python for control system design …

gb (code pays fourni par la source)

Review of trajectory planning methods for civil supersonic aircraft

Mike Colling, Peter Thomas, Pouria Sarhadi

Abstract Renewed interest in supersonic air travel has prompted researchers to reconsider the design and operation of supersonic transport aircraft. Previously, such aircraft were restricted to overwater routes due to the disturbances caused by their sonic booms. Now, however, low-boom designs and …

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Persistent Contrail Avoidance Trajectories for a Supersonic Business Jet

Mike Colling, Peter Thomas, Pouria Sarhadi

There is growing concern about the climate impact of persistent warming condensation trails (or contrails) that form behind aircraft. Previous work has considered the effect of supersonic aircraft fleets on global contrail formation, but individual supersonic flight trajectories that avoid regions favorable …

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Simple yet Effective Anti-windup Techniques for Amplitude and Rate Saturation: An Autonomous Underwater Vehicle Case Study

Pouria Sarhadi

Actuator amplitude and rate saturation (A\&RSat), together with their consequent windup problem, have long been recognised as challenges in control systems. Anti-windup (AW) solutions have been developed over the past decades, which can generally be categorised into two main groups: classical and …

Wind-Optimal Transatlantic Route Planning for Civil Supersonic Aircraft

Mike Colling, Peter Thomas, Pouria Sarhadi

Renewed interest in supersonic air travel has prompted researchers to consider where next-generation civil supersonic aircraft will operate. These aircraft are expected to fly lower and slower than Concorde, meaning that prevailing winds will have a greater impact on flight duration and …

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Reinforcement Learning for Torque Vectoring in Electric Vehicles: A Review of Stability and Energy Optimization Methods

Reza Jafari, Shady S. Refaat, Amin Paykani, Pedram Asef et autres

Torque vectoring can enhance dynamic stability and concurrently enable efficient energy management in electric vehicles (EVs) through optimized torque distribution. Nevertheless, conventional torque vectoring schemes often rely on fixed models and tuning, limiting their adaptability. Reinforcement learning (RL) and its model-free versions …

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Operational Analysis of Electric Power Management and Control for a Quadrotor UAV

Yuze Li, Pedram Asef, Pouria Sarhadi

This study presents the development of an operational analysis framework for the electric propulsion and control systems of quadrotor unmanned aerial vehicles (UAVs) designed for short-range transport missions. A comprehensive 6-DOF dynamics model is developed to enhance simulation realism by incorporating key …

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