Kongzhi yu Juece/Control and Decision (ISSN:1001-0920) is a monthly peer-reviewed scopus indexed journal originally founded in 1986. It is sponsored by the Ministry of Education, china and Northeastern University, china. Kongzhi yu Juece/Control and Decision (ISSN:1001-0920) has always adhered to the correct purpose of running the journal, and has been committed to gathering and disseminating excellent academic achievements, inspiring technological innovation, and promoting the development of disciplines in my country.Aiming at major national needs and international frontiers, this journal has published a large number of original and high-level research result. The journal was selected into the "China Science and Technology Journal Excellence Action Plan Project" in December 2019.In the future, it will strive to build an open innovation, collaborative integration.
The construction scheme evaluation method of the C4ISR system are studied in this paper. Based on the analysis of the construction process of the C4ISR system, the index system architecture is designed. The Kendall concordance coefficient test method and the weight calculation on distance based Optimization are combined to integrate the expert opinions more objectively. The evaluation method of comparative advantage relationship is improved by introducing the evaluation benchmark, which avoids the data normalization process and reduces the repeated calculation of the evaluated al bevaluatio
In this paper, the attitude stabilization control problem of rigid aircrafts under angular velocity constraints is studied. A composite finite time attitude control scheme based on disturbance observers is proposed. Firstly for the attitude control system of rigid aircrafts based on the modified rodriguez parameters (MRPs), a finite-time attitude controller with an angular velocity constraint term is designed based on the homogeneous theory and making full use of the system model structure characteristics, under which the attitude can be stabilized to the equilibrium in a finite time. At th
For the stochastic configuration network (SCN), it randomly produces the hidden parameters and adaptively selects their scopes using an inequality constraint. As a result, the SCN exhibits superior performance in convergence speed and modeling accuracy- low. value and redundant hidden nodes due to the inherent feature of a randomized algorithm. To improve the sparsity of the SCN soft sensor model, a parsimonious stochastic configuration network (PSCN) is proposed in this paper. The L 1 norm is plugged into the cost function of the PSCN, and a new inequality constraint is built to obtain the
This paper studies the problem of spatial path-following control of underactuated autonomous underwater vehicles (AUVs) with multiple uncertainties and input saturation taken into account. Initially, the reduced-order extended state observes (ESOs) is introduced to estimate and compensate all humped uncertainties due to the model parameters perturbations, unmodeled dynamics, environmental disturbances and nonlinear hydrodynamic damping terms. Furthermore, the spatial path-following control strategy is established by combining with backstepping, integral sliding mode control and estimator to
Multimodal multi-objective problems (MMOPs) commonly arise in real-world problems where distant solutions in decision space correspond to very similar objective values. To obtain more Pareto optimal solutions for MMOPs, many multimodal multi-objective evolutionary algorithms (MMEAs) have been proposed. For now, few studies have encompassed most of the recently proposed representative MMEAs and made a comparative comparison. In this study, we first review the related works during the last two decades. Then, we choose 12 stateof-the-art algorithms that utilize different diversity-maintaining