Non-Saccharomyces yeasts have the potential to ameliorate wine ethanol levels, but such fit-for-purpose yeast strains are still lacking. Seventy-one indigenous non-Saccharomyces isolated from spontaneous fermentations of four regions in China (Ningxia, Xinjiang, Gansu, and Shaanxi) were screened for formation characterized major metabolite profiles synthetic grape juice fermentation obtain with low yields. Four Hanseniaspora less volatile acidity production primarily selected, their yield...

This paper presents a non-linear model predictive control approach for offset-free tracking and the rejection of piece-wise constant disturbances. The involves augmenting system’s state vector with integral error, enabling design controller this augmented system. Nominal closed-loop stability is enforced thanks to terminal equality constraint proven by Lyapunov argument. Compared existing approaches in literature, our method offers greater simplicity, as it does not rely on linear...

This paper addresses image enhancement and 3D reconstruction techniques for dim scenes inside the vacuum chamber of a nuclear fusion reactor. First, an improved multi-scale Retinex low-light algorithm with adaptive weights is designed. It can recover detail information that not visible in environments, maintaining clarity contrast easy observation. Second, according to actual needs target plate defect detection chamber, based on photometric stereo vision proposed. To optimize position light...

The note is devoted to the interval observer design problem for discrete-time switched systems. By designing a suitable observer, it convenient achieve estimation bounds of system states and reduce effect unknown external disturbance. method has two main steps. They are <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$H_{\infty }$ </tex-math></inline-formula> hull respectively. Besides, superiority proposed...

In the three-phase photovoltaic (PV) cascaded inverter, output power of PV arrays is not equal due to difference solar radiation, temperature and other factors, which leads over modulation inverter. order solve above problems, carrier phase-shifted PWM (CPS-PWM) control strategy based on third harmonic injection proposed in this paper, taking a single-stage high-frequency-link isolated inverter topology with clamping circuits as an example. It can only improve utilization DC voltage, but...

This paper studies the trajectory tracking anti-disturbance control of unmanned autonomous helicopters (UAHs) under matched disturbances and mismatched ones. Firstly, six-degrees-of-freedom UAH nonlinear system is simplified via feedback linearization to handle strong coupling, in which multiple are composed modeled time-varying bounded Secondly, order estimate these disturbances, a new design method composite disturbance observer proposed. On one hand, for normal (DO) combined with...

Abstract. This research presents an innovative SLAM algorithm that integrates Convolutional Neural Networks (CNNs) with LIDAR and stereo vision to significantly enhance the accuracy of environmental modeling construction dense 3D point cloud maps in complex dynamic surroundings. By processing pre-recorded video data employing advanced image segmentation techniques, this study achieves a deep fusion visual geometric data, resulting highly detailed precise representations environment. The...

An approach to design robust tracking controllers for non-linear systems is proposed. The method involves solving a open-loop optimal control problem that establishes the nominal behaviour, followed by of feedback controller robustly stabilises system around state trajectory. effectiveness proposed shown on quadrupletank model subject parametric uncertainties.

Photovoltaic power forecasting (PVPF) is a critical area in time series (TSF), enabling the efficient utilization of solar energy. With advancements machine learning and deep learning, various models have been applied to PVPF tasks. However, constructing an optimal predictive architecture for specific tasks remains challenging, as it requires cross-domain knowledge significant labor costs. To address this challenge, we introduce AutoPV, novel framework automated search construction based on...

This paper proposes a general framework for modeling nonlinear dynamical systems based on support vector machine (SVM), firstly provides short introduction to regression SVM, then uses standard model system, and gives theoretic analysis about its robustness under noise. The simulation results indicate that the SVM method can reduce effect of sample's number noise modeling, performance is better than neural network method.

ABSTRACT Support vector machine is a learning technique based on the structural risk minimization principle, and it also class of regression method with good generalization ability. The paper firstly introduces mathematical model least squares support (LSSVM), designs incremental algorithms by calculation formula block matrix, then uses LSSVM to nonlinear system, which control systems predictive method. Simulation experiments indicate that proposed provides satisfactory performance, achieves...

This paper presents a non-linear model predictive controller for offset-free tracking and disturbance rejection of arbitrary constant (or piecewise-constant) set-points and/or disturbances. The control problem consists regulating the plant dynamics augmented with integral error variables to be controlled. simple approach offers against unknown proposed is successfully applied highly non-linear, coupled, water-tank process which exhibits both minimum non-minimum phase characteristics.

This paper proposes a solution to address the limitations of input shaping techniques in tower cranes. To overcome dependence on precise mathematical models second-order systems associated with methods, this an algorithm based Extended State Observer (ESO) for model estimation. A closed-loop control scheme ESO is combined issues caused by open-loop shaping. The improved technique applied crane improve displacement tracking accuracy and suppress load swing angles. Finally, simulation results...