BP Neural Network has a longer training time and a slow convergence. To deal with the defects of BP Neural Network a modified BP algorithm is proposed in the paper. The algorithm is applied for the control of Inverted Pendulum, a highly non linear system inherently being open loop unstable. Levenberg-Marquardt algorithm is used for the training purpose. The training samples are being collected ...

As the next generation of green power system, smart grids have gradually enhanced operation efficiency system. Meanwhile, application communication and intelligent technologies make grid more vulnerable to emerging cyber-physical attacks, such as false data injection attack (FDIA). Particularly, deception property FDIA on output measurement estimation can fool current security mechanism without...

This paper presents a method to design modal controller with simple 1-DOF models for an active suspension system. Full-state feedback controller, especially, linear quadratic regulator (LQR) and H∞ designed 7-DOF full-car model is hard implement in actual vehicles because there are so many state variables gain elements needed be precisely measured finely tuned, respecti...

We develop a dynamic trading strategy in the Linear Quadratic Regulator (LQR) framework. By including price mean-reversion signal into optimization program, environment where market impact is linear and stage costs are quadratic, we obtain an optimal curve that reacts opportunistically to changes while retaining its ability satisfy smooth or hard completion constraints. The allocation affine sp...

Parrot Mambo mini-drone is a readily available commercial quadrotor platform to understand and analyze the behavior of both in indoor outdoor applications. This study evaluates performance three alternative controllers on an interior environment, including Proportional–Integral–Derivative (PID), Linear Quadratic Regulator (LQR), Model Predictive Control (MPC). To investigate controllers’ perfor...

This paper focuses on the flying inverted pendulum problem, i.e balancing a pendulum on a flying vehicle. After analyzing the system dynamic, a three loop cascade control strategy based on active disturbance rejection control (ADRC) is proposed. Not only the pendulum balancing, but also the trajectory tracking of the vehicle can be realized successfully even when strong disturbances exist. The ...

Abstract The problem of stabilization of vertical, lateral and longitudinal dynamics for hover flight mode of an unmanned autonomous helicopter (UAH) in a gusty environment is considered. The controller design is based on a generic linear model which successfully describes the behavior of most small scale helicopters. A recursive (backstepping) design procedure is used to design the robust cont...

The experimental performance of recently proposed approximation techniques for nonlinear optimal, and nonlinear H 1 control compare favorably with other popular design techniques including LQR, linear H 1 , backstepping, and passivity based control. The performance of the aforementioned six control laws on a physical system similar to the Nonlinear Benchmark problem proposed by Bernstein is com...