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This paper presents a new improved nonlinear tracking differentiator (INTD) with hyperbolic tangent function in the state space system. The stability and convergence of the INTD are thoroughly investigated and proved. Through the error…

最优化与控制 · 数学 2018-03-09 Ibraheem Kasim Ibraheem , Wameedh Riyadh Abdul-Adheem

The PID controller remains the most widely adopted control architecture, with groundbreaking success across extensive implications. However, optimal parameter tuning for PID controller remains a critical challenge. Existing theories…

系统与控制 · 电气工程与系统科学 2025-07-17 Zimao Sheng , Hongan Yang , Jiakang Wang , Tong Zhang

This article develops and proposes a geometric nonlinear proportional-integral-derivative (PID) type tracking control scheme on the Lie group of rigid body rotations, SO(3). Like PD-type attitude tracking control schemes that have been…

系统与控制 · 电气工程与系统科学 2019-09-17 Hossein Eslamiat , Ningshan Wang , Amit K. Sanyal

We study synchronization of nonlinear systems that satisfy an incremental passivity property. We consider the case where the control input is subject to a class of disturbances, including constant and sinusoidal disturbances with unknown…

系统与控制 · 计算机科学 2013-12-24 He Bai , S. Yusef Shafi

The conceptually new approach based on the logarithmic norm to design of robust adaptive state-feedback controller for linear time-varying (LTV) systems under system's modeling uncertainty and nonlinear external disturbance is proposed.…

最优化与控制 · 数学 2020-12-18 Robert Vrabel

Reset controllers have demonstrated their effectiveness in enhancing performance in precision motion systems. To further exploiting the potential of reset controllers, this study introduces a parallel-partial reset control structure.…

系统与控制 · 电气工程与系统科学 2024-06-25 Xinxin Zhang , S. Hassan HosseinNia

The traditional proportional-integral-derivative (PID) algorithm for regulation suffers from a tradeoff: placing the sensor near the sample being regulated ensures that its steady-state temperature matches the desired setpoint. However, the…

仪器与探测器 · 物理学 2015-04-02 Leith Znaimer , John Bechhoefer

This paper applies geometric PID control for asymptotic tracking of a desired trajectory by a hoop robot in the presence of disturbances and uncertainties. The hoop robot, consisting of a circular body rolling without slip along a…

最优化与控制 · 数学 2017-02-28 T. W. U. Madhushani , D. H. S. Maithripala , J. M. Berg

In this paper, disturbance reconstruction and robust trajectory tracking control of biped robots with hybrid dynamics in the port-Hamiltonian form is investigated. A new type of Hamiltonian function is introduced, which ensures the…

机器人学 · 计算机科学 2021-10-14 Yousef Farid , Fabio Ruggiero

This paper presents the analysis of the stability properties of PID controllers for dynamical systems with multiple state delays, focusing on the mathematical characterization of the potential sensitivity of stability with respect to…

最优化与控制 · 数学 2020-09-08 Pieter Appeltans , Silviu-Iulian Niculescu , Wim Michiels

In this article, we focus on the global stabilizability problem for a class of second order uncertain stochastic control systems, where both the drift term and the diffusion term are nonlinear functions of the state variables and the…

系统与控制 · 电气工程与系统科学 2022-05-11 Cheng Zhao , Yanbin Zhang

We design a two-component controller to achieve reference tracking with output constraints - exemplified on systems of relative degree two. One component is a data-driven or learning-based predictive controller, which uses data samples to…

最优化与控制 · 数学 2025-05-27 Lea Bold , Lukas Lanza , Karl Worthmann

A Proportional- Integral- Derivative (PID) controller is required to bring a system back to the stable operating region as soon as possible following a disturbance or discrepancy. For successful operation of the PID controller, it is…

系统与控制 · 电气工程与系统科学 2024-09-04 Md. Rayid Hasan Mojumder , Naruttam Kumar Roy

In this paper, a novel adaptive tuning method of PID neural network (PIDNN) controller for nonlinear process is proposed. The method utilizes an improved gradient descent method to adjust PIDNN parameters where the margin stability will be…

系统与控制 · 计算机科学 2015-12-24 Ali Zribi , Mohamed Chtourou , Mohamed Djemel

For linear control systems, the usual state feedback stabilizability has two components: one is a continuous observation mode (i.e., to observe solutions continuously in time), and the other is a class of feedback laws (which is usually the…

最优化与控制 · 数学 2022-08-29 Hanbing Liu , Gengsheng Wang , Huaiqiang Yu

A novel fractional order (FO) fuzzy Proportional-Integral-Derivative (PID) controller has been proposed in this paper which works on the closed loop error and its fractional derivative as the input and has a fractional integrator in its…

系统与控制 · 计算机科学 2012-02-28 Saptarshi Das , Indranil Pan , Shantanu Das , Amitava Gupta

This paper addresses the distributed frequency control problem in a multi-area power system taking into account of unknown time-varying power imbalance. Particularly, fast controllable loads are utilized to restore system frequency under…

系统与控制 · 计算机科学 2018-10-31 Zhaojian Wang , Shengwei Mei , Feng Liu , Steven H. Low , Peng Yang

The sliding mode observer is a useful method for estimating the system state and the unknown disturbance. However, the traditional single-layer observer might still suffer from high pulse when the output measurement is mixed with noise. To…

系统与控制 · 电气工程与系统科学 2023-10-27 Yiyong Sun , Zhang Chen , Guang Zhai , Bin Liang

This work aims to raise awareness among engineering students from different disciplines on the importance of feedback control. The proposal consists in comparing the performance of different control strategies in a laboratory session,…

系统与控制 · 电气工程与系统科学 2025-01-28 Aldo Jonathan Munoz-Vazquez

We consider $\hinf$-optimal state-feedback control of the class of linear Partial Differential Equations (PDEs) which admit a Partial Integral Equation (PIE) representation. While linear matrix inequalities are commonly used for optimal…

最优化与控制 · 数学 2026-04-07 Sachin Shivakumar , Amritam Das , Matthew Peet