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Feedforward controllers typically rely on accurately identified inverse models of the system dynamics to achieve high reference tracking performance. However, the impact of the (inverse) model identification error on the resulting tracking…

系统与控制 · 电气工程与系统科学 2024-01-25 Max Bolderman , Mircea Lazar , Hans Butler

Practical design and tuning of feedback controllers has often to get by without a model of the dynamic process at hand. Only some general assumptions about the system dynamics, in this work type-one stable, can be available for engineers,…

系统与控制 · 电气工程与系统科学 2026-05-07 Michael Ruderman

Data-driven control has gained significant attention in recent years, particularly regarding feedback linearization of nonlinear systems. However, existing approaches face limitations when it comes to implementing them on hardware. The main…

系统与控制 · 电气工程与系统科学 2023-07-13 Karthik Shenoy , Akshit Saradagi , Ramkrishna Pasumarthy , Vijaysekhar Chellaboina

The work show in this paper progresses through a sequence of physics-based increasing fidelity models that are used to design the robot controllers that respect the limits of the robot capabilities, develop a reference simple controller…

机器人学 · 计算机科学 2023-01-24 Younes El koudia , Jarou Tarik , Abdouni Jawad , Sofia El Idrissi , Elmahdi Nasri

This paper studies the performance of a model-free LQR based PID (i-LQR-PID) controller designed for tracking control problem of a 2-DoF laboratory helicopter. The control problem addressed in 2-DoF helicopter system aims to track the…

系统与控制 · 电气工程与系统科学 2021-03-23 Nouha Rouis , Ibrahima N'Doye , Taous-Meriem Laleg-Kirati

Model-Free Control (MFC) has been applied to a wide variety of systems in which it has shown its performance. MFC offers "model-free operation", but the controller design requires some information from the nominal plant. This paper…

系统与控制 · 电气工程与系统科学 2024-11-05 Marcos Moreno-Gonzalez , Antonio Artuñedo , Jorge Villagra

A new "model-free" control methodology is applied to a boost power converter. The properties of the boost converter allow to evaluate the performances of the model-free strategy in the case of switching nonlinear transfer functions,…

系统与控制 · 计算机科学 2013-10-10 Loïc Michel , Wim Michiels , Xavier Boucher

This paper proposes a spectral-based tuning method for proportional-integral (PI) controllers in integrating-plus-dead-time (IPDT) systems. The design objective is to achieve unified exponential decay for both reference tracking and…

系统与控制 · 电气工程与系统科学 2025-07-03 Dhamdhawach Horsuwan

Data-driven control offers a viable option for control scenarios where constructing a system model is expensive or time-consuming. Nonetheless, many of these algorithms are not entirely automated, often necessitating the adjustment of…

系统与控制 · 电气工程与系统科学 2024-03-22 Riccardo Busetto , Valentina Breschi , Federica Baracchi , Simone Formentin

We are introducing a model-free control and a control with a restricted model for finite-dimensional complex systems. This control design may be viewed as a contribution to "intelligent" PID controllers, the tuning of which becomes quite…

最优化与控制 · 数学 2009-04-03 Michel Fliess , Cédric Join

Advanced feedforward control methods enable mechatronic systems to perform varying motion tasks with extreme accuracy and throughput. The aim of this paper is to develop a data-driven feedforward controller that addresses input…

系统与控制 · 电气工程与系统科学 2023-11-30 Jilles van Hulst , Maurice Poot , Dragan Kostić , Kai Wa Yan , Jim Portegies , Tom Oomen

The paper presents a feedforward plus feedback controller structure with I and PI controllers for control of an integrating process with dead time. Guidelines for controller gain selection based on time domain specifications of damping…

系统与控制 · 电气工程与系统科学 2019-08-27 Sujay D. Kadam

A new "model-free" control methodology is applied for the first time to power systems included in microgrids networks. We evaluate its performances regarding output load and supply variations in different working configuration of the…

系统与控制 · 计算机科学 2015-03-19 Loïc Michel , Wim Michiels , Xavier Boucher

We present a data-driven optimal control framework that can be viewed as a generalization of the path integral (PI) control approach. We find iterative feedback control laws without parameterization based on probabilistic representation of…

系统与控制 · 计算机科学 2016-02-02 Yunpeng Pan , Evangelos A. Theodorou , Michail Kontitsis

This paper deals with designing a robust fixed-order dynamic output feedback controller for uncertain fractional order linear time invariant (FO-LTI) systems by means of linear matrix inequalities (LMIs). Our purpose is to design a low…

最优化与控制 · 数学 2018-02-22 Pouya Badri , Mahdi Sojoodi

This paper considers optimal input design when the intended use of the identified model is to construct a feed-forward controller based on measurable disturbances. The objective is to find a minimum power excitation signal to be used in…

系统与控制 · 计算机科学 2013-03-14 Per Hägg , Bo Wahlberg

This paper presents the design and robustness analysis of fractional and integer order PID controllers for the control of a non-linear industrial process in the presence of parametric uncertainness and external disturbances. The nonlinear…

系统与控制 · 计算机科学 2018-10-31 J. Viola , L. Angel

Optimal nonlinear damping control was recently introduced for the second-order SISO systems, showing some advantages over a classical PD feedback controller. This paper summarizes the main theoretical developments and properties of the…

系统与控制 · 电气工程与系统科学 2022-08-09 Michael Ruderman

In this paper a new optimum tuning method of PI controllers in first-order time-delay systems, based on the deadbeat response to a step setpoint variation, is presented. The deadbeat performance, already studied for the plants without…

最优化与控制 · 数学 2007-05-23 Gianpasquale Martelli

"Model-free control" and the corresponding "intelligent" PID controllers (iPIDs), which already had many successful concrete applications, are presented here for the first time in an unified manner, where the new advances are taken into…

最优化与控制 · 数学 2013-11-21 Michel Fliess , Cédric Join
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