This article presents a generalizable methodology for data-driven identification of nonlinear dynamics that bounds the model error in terms prediction horizon and magnitude derivatives system states. Using higher order general need not be known, we construct Koopman-operator-based linear representation utilize Taylor series accuracy analysis to derive an bound. The resulting formula is used cho...

In this study, a linear quadratic regulator based on the fuzzy logic (LQRF) control algorithm for variable-speed variable-pitch wind turbine was designed. addition, to verify optimum performance of controller, simulations and tunnel tests were conducted. simulation, performances proportional-integral (PI) LQRF algorithms compared in transition region rated power region. test, applicability veri...

Abstract Balancing a bipedal robot movement against external perturbations is considered challenging and complex topic. This paper discusses how the vibration caused by disturbance has been tackled Linear Quadratic Regulator, which aims to provide optimal control system. A simulation was conducted on MATLAB in order prove concept. Results have shown that linear quadratic regulator successful st...

We present a method of solving an linear quadratic regulator problem approximately in the case of discrete-time systems. This method leaves parameters as symbols in the evaluation function. We introduce the concept of the approximate linear quadratic regulator problem. We also propose a computation method to solve the problem. A numerical example of the approximate linear quadratic regulator pr...

This paper proposes a discrete-time repetitive optimal control of electrically driven robotic manipulators using an uncertainty estimator. The proposed control method can be used for performing repetitive motion, which covers many industrial applications of robotic manipulators. This kind of control law is in the class of torque-based control in which the joint torques are generated by permanen...

A fuzzy gain scheduling proportional controllers that exhibits the improved performance than the conventional linear fixed gain controller having input saturation is proposed in this paper. We proposed an adaptive anti-windup control system in which the gain of a proportional controller is dynamically tuned by a fuzzy PD system. The methodology employed in the analysis is based on the describin...

and damper do not provide energy to the suspension system and control only the motion of the car body and wheel by limiting the suspension velocity according to the rate determined by the designer, T~ the above problem, active suspension systems have been proposed by various [3,4,51. Active suspension systems dynamically respond to changes in the road profile because of their ability to supply ...