This paper is one of two joint papers, each presenting and utilizing a different representation of a feedforward neural network for controller design. Here a neural state-space model is transformed into a linear fractional transformation (LFT) representation to obtain a discrete-time quasi-linear parameter-varying (LPV) model of a nonlinear plant, whereas in the joint paper (Abbas and Werner [2...

In this paper performance of Puma 560 manipulator is being compared for hybrid gradient descent and least square method learning based ANFIS controller with hybrid Genetic Algorithm and Generalized Pattern Search tuned radial basis function based Neuro-Fuzzy controller. ANFIS which is based on Takagi Sugeno type Fuzzy controller needs prior knowledge of rule base while in radial basis function ...

this paper proposes an approach for the minimum time swing upof a rotary inverted pendulum. our rotary inverted pendulum is supported bya pivot arm. the pivot arm rotates in a horizontal plane by means of a servomotor. the opposite end of the arm is instrumented with a joint whose axisis along the radial direction of the motor. a pendulum is suspended at thejoint. the task is to design a contro...

In this paper, hybrid impedancehime-delay control is used for a robot to successfully achieve contact tasks without changing a control algorithm or controller gains throughout all three modes: free space, contact transition and constrained motion. In order to absorb impact forces and stabilize the system upon collision with a stiff environment, a nonlinear bang-bang impact controller is develop...

Trial and error method can be used to find a suitable design of a fuzzy controller. However, there are many options including fuzzy rules, Membership Functions (MFs) and scaling factors to achieve a desired performance. An optimization algorithm facilitates this process and finds an optimal design to provide a desired performance. This paper presents a novel application of the Bacterial Foragin...

In this paper, we investigate the task-space consensus problem for multiple robotic systems with both the uncertain kinematics and dynamics in the case of existence of constant communication delays. We propose an observer-based adaptive controller to achieve the manipulable consensus without relying on the measurement of task-space velocities, and also formalize the concept of manipulability to...

In this paper we present a hybrid control scheme, combining the advantages of task-space and joint-space control. The controller is based on a human-like adaptive design, which minimises both control effort and tracking error. Our novel hybrid adaptive controller has been tested in extensive simulations, in a scenario where a Baxter robot manipulator is affected by external disturbances in the ...

In this paper, we propose a Sectorial Fuzzy Controller (SFC) with feedforward compensation of the robot dynamics in joint space, evaluated at desired angular positions, velocities, and accelerations, applied to trajectory tracking all revolute joints robotic arms. Global uniform asymptotic stability proof applying direct Lyapunov theorem, is introduced for new control scheme by using strict fun...

Space manipulator systems are designed to have lightweight structure and long arms in order to achieve reduction of fuel consumption and large reachable workspaces, respectively. Such systems are subject to link flexibilities. Moreover, space manipulator actuators are usually driven by harmonic gear mechanisms which lead to joint flexibility. These types of flexibility may cause vibrations both...

in this paper, a two-surfaces sliding mode controller (tssmc) is proposed for the voltage tracking control of a two input dc-dc converter in application of electric vehicles (evs). the imperialist competitive algorithm (ica) is used for tuning tssmc parameters. the proposed controller significantly improves the transient response and disturbance rejection of the two input converters while prese...