It is undeniable that the development of robot manipulators has gained significant attention
due to its numerous applications in various sectors. In order to address and resolve several …

This manuscript introduces a novel adaptive neural network-based controller for trajectory
tracking of quadrotors. This controller is conceived as an outer loop controller that interacts …

In order to ensure trajectory tracking on a two degrees-of-freedom self-balancing robot
(SBR) a control scheme, based on the combination of adaptive neural networks and input …

To solve the problems of low accuracy and poor stability due to modeling error, external
disturbance and unknown load, which exist in the position servo control of permanent …

The aerial flexible-joint robot (AFJR) manipulation system has been widely used in recent
years. To handle uncertainty, the input saturation and the output constraint existing in the …

This paper introduces a novel control strategy for managing the uncertainties in flexible joint
manipulators, incorporating a Radial Basis Function Neural Network (RBFNN) with Adaptive …

This paper presents a new fuzzy non‐singular fast terminal decoupled sliding mode control
based on the finite‐time extended state observer for trajectory tracking control of flexible joint …

This study deals with the construction of an enhanced dynamic model for a lever-arm with
flexible-joint to design a feedback linearization controller. The uncertainties of reduced-order …

This paper presents a passivity-based twisting sliding mode control (PBSMC) approach for
series elastic actuators (SEAs). To address the time-varying position trajectory tracking …