A5034887896- Adaptive Control of Nonlinear Systems
- Advanced Control Systems Optimization
- Iterative Learning Control Systems
- Stability and Control of Uncertain Systems
- Sensorless Control of Electric Motors
- Fault Detection and Control Systems
- Electric Motor Design and Analysis
- Multilevel Inverters and Converters
- Wind Turbine Control Systems
- Advanced DC-DC Converters
- Microgrid Control and Optimization
- Control and Dynamics of Mobile Robots
- Wind Energy Research and Development
- Hydraulic and Pneumatic Systems
- Robotic Path Planning Algorithms
- Stability and Controllability of Differential Equations
- Control Systems and Identification
- Underwater Vehicles and Communication Systems
- Control and Stability of Dynamical Systems
- Piezoelectric Actuators and Control
- Radio Astronomy Observations and Technology
- Distributed Control Multi-Agent Systems
- Dynamics and Control of Mechanical Systems
- Control Systems in Engineering
- Antenna Design and Optimization
Polytechnic University of Turin
2025
University of Naples Federico II
2024
Marche Polytechnic University
2015-2024
Alenia Aermacchi
2009-2024
Space (Italy)
2009-2024
Forest Institute
2024
Thales (Italy)
2009-2024
Wake Forest University
2024
University of Bologna
2024
Atrium Health Wake Forest Baptist
2022
This paper presents a discrete-time variable-structure-based control and speed estimator designed for permanent-magnet synchronous motor (PMSM). A cascade scheme is proposed which provides accurate tracking performance. In this the robust digital differentiator that first derivative of encoder position measurement. The analysis stability given ultimate boundedness error proved. experimentally tested on commercial PMSM drive. Reported experimental evidence shows solution produces good...
The actuator failure compensation problem is addressed in this brief. It considered an uncertain linear plant, which supposed to undergo unknown failures causing the plant input components be stuck at some but bounded time functions. A sliding-mode-based control policy presented, guaranteeing detection of fault and identification failed component by means a suitable test input. Once has been identified, law reconfigured, redistributing activity among controllers still working. proposed...
This paper proposes an actuator fault-tolerant control scheme, composed of the usual modules performing detection, isolation, accommodation, designed for a class nonlinear systems, and then applied to underwater remotely operated vehicle (ROV) used inspection purposes. Detection is in charge residual generation module, while sliding-mode-based approach has been both ROV fault after application input decoupling state transformation model. Finally, reconfiguration performed exploiting inherent...
This paper focuses on a robust power generation control strategy for variable-speed wind energy conversion system based permanent magnet synchronous generator. The proposed combines observer of the aerodynamic torque with sliding mode-based field-oriented strategy. vanishing observation error and tracking is proved. Reported numerical simulations show that policy effective in terms optimal extraction it respect to uncertainties affecting system.
Actuator nonlinearities are often neglected in control system design, though they can remarkably affect systems performance. This paper presents sliding mode controllers able to robustly stabilize an intrinsically nonlinear uncertain plant, the presence of dead zone or backlash actuator devices. These have been assumed uncertain, too, with known bounds on parameters. In case backlash, two different approaches presented, obtained using a quasistatic and dynamic description nonlinearity....
This paper addresses discrete-time variable structure control for multiple input-multiple output (MIMO) systems. Two algorithms are presented, obtained extending to the multivariable case two techniques previously proposed by authors (1995) single input-single (SISO) Both consist of laws cascaded a generalized minimum variance controller. The former algorithm refers completely known system, while latter has been designed deal with parameter uncertainties in plant. In this case, connection...
This paper presents a discrete-time sliding mode control based on neural networks designed for robotic manipulators. Radial basis function are used to learn about uncertainties affecting the system. The online learning algorithm combines growing criterion and pruning strategy of minimal resource allocating network technique with an adaptive extended Kalman filter update all parameters networks. A method improve run-time performance real-time implementation has been considered. analysis...
Abstract This article addresses the trajectory tracking problem for a wheeled mobile base, considering presence of disturbances that violate nonholonomic constraint, and using an approximated discrete‐time model vehicle. The proposed solution is based on sliding mode control, in order to ensure controller both robust implementable. asymptotic boundedness errors theoretically proved, experimental results are reported, showing effectiveness control law. © 2002 Wiley Periodicals, Inc.
In this paper a nested PID steering control for lane keeping in vision based autonomous vehicles is designed to perform path following the case of roads with an uncertain curvature. The input wheel angle: it on basis yaw rate, measured by gyroscope, and lateral offset, system as distance between road centerline virtual point at fixed from vehicle. No acceleration no speed measurements are required. A PI active front rate tracking error used reject constant disturbances overall effect...
Generative Agent-Based Modeling (GABM) is an emerging simulation paradigm that combines the reasoning abilities of Large Language Models with traditional to replicate complex social behaviors, including interactions on media. While prior work has focused localized phenomena such as opinion formation and information spread, its potential capture global network dynamics remains underexplored. This paper addresses this gap by analyzing GABM-based media simulations through lens Friendship...
A discrete-time variable structure control technique is presented for uncertain continuous-time systems. The design algorithm makes use of the concept time-delay in order to estimate effects system perturbations inside switching region. controller performances have been evaluated by simulation using a benchmark problem proposed literature. satisfactory behavior obtained also presence remarkable uncertainties, showing noticeable robustness with respect parameter variations and external...
Abstract In this article, the robust trajectory tracking problem for dynamical model of a wheeled mobile robot has been solved using sliding mode control. The presence bounded uncertainties (parameter variations and input disturbances) considered. control policy makes use two nonlinear surfaces, able to ensure asymptotic vanishing three errors. law tested by simulation. reported results show effectiveness proposed law. © 2001 John Wiley & Sons, Inc.
This paper addresses the actuator failure compensation problem, and considers an uncertain linear plant which is supposed to undergo unknown failures causing input components be stuck at some but bounded time functions. A control policy, based on sliding mode, presented, guarantees detection of fault identification failed component by means a suitable test input. Once has been identified, law reconfigured, redistributing activity among controllers still working. The proposed controller...
Abstract In this paper a quasi‐sliding mode control for permanent magnet synchronous motor ( PMSM ) is proposed where cascade scheme based on properly designed state observer provides accurate speed tracking performance. The ultimate boundedness of both the observation error and proven. controller performance has been validated using hardware in loop HIL tests simulator model commercial drive. Tests show that observer‐based produces good trajectory it robust presence disturbances affecting system.