: Tuning of robot joint controllers using iterative feedback tuning (IFT) is considered. Using a simulation model of a two-link robot arm the applicability of IFT is investigated for a nonlinear and multivariable system. Due to the strong crosscoupling between the two links a decoupling controller is needed in order to obtain satisfactory results. An approach for obtaining a decoupling controller is investigated. It is also shown how IFT can be used to tune the controller parameters for a particular trajectory of the arm. Keywords: Iterative methods, robotic manipulators, decoupling, multivariable, nonlinear. 1. INTRODUCTION Iterative feedback tuning (IFT), as initially proposed in Hjalmarsson et al. (1994a), is a method for tuning of the p...
Iterative learning control applied to a simplified model of a robot arm is studied. The iterative le...
In this paper two mc-based adaptive control strategies guided to the control of an experimental robo...
This paper proposes a model-based iterative learning control algorithm for time-varying systems with...
Tuning of robot joint controllers using iterative feedback tuning (IFT) is considered. Using a simul...
Iterative feedback tuning is used to tune a decoupling controller for a 2 x 2 multivariable system. ...
Feedforward control is an effective way to improve the joint tracking accuracy of robotic systems. T...
Robot-assisted rehabilitation offers benefits, such as repetitive, intensive, and task-specific trai...
This dissertation focuses on the design of feedback and feedforward controllers for direct applicati...
Iterative feedback tuning (IFT) method is a data-driven control method, which can tune the parameter...
This paper deals with a simulation-based design of model-based iterative learning control (ILC) for ...
Abstract:- In this paper some adaptive nonlinear multivariable techniques used in the control of rob...
This work presents an iterative learning control (ILC) algorithm to enhance the feedforward control ...
Iterative learning control (ILC) has been intensely researched for over 30 years to improve the perf...
Despite the vast amount of delivered theoretical results, regarding the topic of controller design, ...
This paper is concerned with independent joint control of industrial robots. Despite the fact that a...
Iterative learning control applied to a simplified model of a robot arm is studied. The iterative le...
In this paper two mc-based adaptive control strategies guided to the control of an experimental robo...
This paper proposes a model-based iterative learning control algorithm for time-varying systems with...
Tuning of robot joint controllers using iterative feedback tuning (IFT) is considered. Using a simul...
Iterative feedback tuning is used to tune a decoupling controller for a 2 x 2 multivariable system. ...
Feedforward control is an effective way to improve the joint tracking accuracy of robotic systems. T...
Robot-assisted rehabilitation offers benefits, such as repetitive, intensive, and task-specific trai...
This dissertation focuses on the design of feedback and feedforward controllers for direct applicati...
Iterative feedback tuning (IFT) method is a data-driven control method, which can tune the parameter...
This paper deals with a simulation-based design of model-based iterative learning control (ILC) for ...
Abstract:- In this paper some adaptive nonlinear multivariable techniques used in the control of rob...
This work presents an iterative learning control (ILC) algorithm to enhance the feedforward control ...
Iterative learning control (ILC) has been intensely researched for over 30 years to improve the perf...
Despite the vast amount of delivered theoretical results, regarding the topic of controller design, ...
This paper is concerned with independent joint control of industrial robots. Despite the fact that a...
Iterative learning control applied to a simplified model of a robot arm is studied. The iterative le...
In this paper two mc-based adaptive control strategies guided to the control of an experimental robo...
This paper proposes a model-based iterative learning control algorithm for time-varying systems with...