Model-Free Composite Control of Flexible Manipulators Based on Adaptive Dynamic Programming

Model-free Subspace Based Dynamic Control of Mechanical Manipulators

Planning and Control of Two-Link Rigid Flexible Manipulators in Dynamic Object Manipulation Missions

This research focuses on proposing an optimal trajectory planning and control method of two link rigid-flexible manipulators (TLRFM) for Dynamic Object Manipulation (DOM) missions. For the first time, achievement of DOM task using a rotating one flexible link robot was taken into account in [20]. The authors do not aim to contribute on either trajectory tracking or vibration control of the End-...

Dynamic Load Carrying Capacity of Mobile-Base Flexible-Link Manipulators: Feedback Linearization Control Approach

This paper focuses on the effects of closed- control on the calculation of the dynamic load carrying capacity (DLCC) for mobile-base flexible-link manipulators. In previously proposed methods in the literature of DLCC calculation in flexible robots, an open-loop control scheme is assumed, whereas in reality, robot control is achieved via closed loop approaches which could render the calculated ...

Adaptive RBF network control for robot manipulators

TThe uncertainty estimation and compensation are challenging problems for the robust control of robot manipulators which are complex systems. This paper presents a novel decentralized model-free robust controller for electrically driven robot manipulators. As a novelty, the proposed controller employs a simple Gaussian Radial-Basis-Function Network as an uncertainty estimator. The proposed netw...

Adaptive Inverse Control of Flexible Link Robot Using ANFIS Based on Type-2 Fuzzy

This paper presents a novel adaptive neuro-fuzzy inference system based on interval Gaussian type-2 fuzzy sets in the antecedent part and Gaussian type-1 fuzzy sets as coefficients of linear combination of input variables in the consequent part. The capability of the proposed ANFIS2 for function approximation and dynamical system identification is remarkable. The structure of ANFIS2 is very sim...