Currently, a two-level voltage source inverter (2L-VSI) is regarded as the cornerstone of modern industrial applications. However, control VSIs challenging task due to their nonlinear and time-varying nature. This paper proposes employing fractional-order controller (FOC) improve performance model-free predictive (MFPC) 2L-VSI in uninterruptible power supply (UPS) In conventional MFPC based on ...

This paper presents a novel Representation-Free Model Predictive Control (RF-MPC) framework for controlling various dynamic motions of quadrupedal robot in three dimensional (3D) space. Our formulation directly represents the rotational dynamics using rotation matrix, which liberates us from issues associated with use Euler angles and quaternion as orientation representations. With variation-ba...

Abstract We propose and demonstrate a nonlinear control method that can be applied to unknown, complex systems where the controller is based on type of artificial neural network known as reservoir computer. In contrast many modern neural-network-based techniques, which are robust system uncertainties but require model nonetheless, our technique requires no prior knowledge thus model-free. Furth...

Based on the model-free adaptive control (MFAC) theory, temperature tracking problem of single-effect LiBr/H2O absorption chiller is explored. Due to complex nonlinearity and strong coupling characteristics refrigeration system, strategy designed for its control. Nevertheless, traditional has a slow speed poor denoising ability. In order improve effect, output error rate added objective functio...

This paper investigates the attitude control problem of morphing vehicle subject to great dynamics changes and disturbances during phase. An improved model-free adaptive (MFAC) method is proposed based on compact format dynamic linearization technique. Firstly, a data model data-driven scheme are established input/output (I/O) controlled plant, independent complicated time-varying mathematical ...