Adaptive Decentralized Asymptotic Tracking Control for Large-Scale Nonlinear Systems With Unknown St

来源 :自动化学报(英文版) | 被引量 : 0次 | 上传用户:jiangshan1017
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
An adaptive decentralized asymptotic tracking control scheme is developed in this paper for a class of large-scale nonlinear systems with unknown strong interconnections, unknown time-varying parameters, and disturbances. First, by employing the intrinsic properties of Gaussian functions for the interconnection terms for the first time, all extra signals in the framework of decentralized control are filtered out, thereby removing all additional assumptions imposed on the interconnec-tions, such as upper bounding functions and matching conditions. Second, by introducing two integral bounded functions, asymptotic tracking control is realized. Moreover, the nonlinear filters with the compensation terms are introduced to circumvent the issue of “explosion of complexity”. It is shown that all the closed-loop signals are bounded and the tracking errors converge to zero asymptotically. In the end, a simulation example is carried out to demonstrate the effectiveness of the proposed approach.
其他文献
This paper deals with the co-design problem of event-triggered communication scheduling and platooning control over vehicular ad-hoc networks (VANETs) subject to finite communication resource. First, a unified model is presented to describe the coordinate
Sampling-based path planning is a popular methodology for robot path planning. With a uniform sampling strategy to explore the state space, a feasible path can be found without the complex geometric modeling of the configuration space. However, the qualit
Nonlinear equations systems (NESs) are widely used in real-world problems and they are difficult to solve due to their nonlinearity and multiple roots. Evolutionary algorithms (EAs) are one of the methods for solving NESs, given their global search capabi
This paper investigates PID control design for a class of planar nonlinear uncertain systems in the presence of actuator saturation. Based on the bounds on the growth rates of the nonlinear uncertain function in the system model, the system is placed in a
This paper considers the human-in-the-loop leader-following consensus control problem of multi-agent systems (MASs) with unknown matched nonlinear functions and actuator faults. It is assumed that a human operator controls the MASs via sending the command
Some recent research reports that a dendritic neuron model (DNM) can achieve better performance than traditional artificial neuron networks (ANNs) on classification, prediction, and other problems when its parameters are well-tuned by a learning algorithm
设备故障停机时长是影响企业生产运营和效率的关键技术指标.为了能一目了然地反映设备自身的运行状况,提出了一种设备故障时长评估新指标——设备故障工时损耗率,将因设备故障产生的时长转化为设备故障工时损耗率.以露天矿大型设备电铲车一年电气故障时长作为基础数据,建立均值差分GM(1,1)模型,掌握设备稳定性,为采矿优化调度、生产产能制定提供有效支撑;建立ARIMA模型,拟合时间序列并获取短期预测数据,将其转化为评估指标验证模型,有效缩短故障检测和维修准备的时间.
Directly grasping the tightly stacked objects may cause collisions and result in failures, degenerating the functionality of robotic arms. Inspired by the observation that first pushing objects to a state of mutual separation and then grasping them indivi
常规同步控制建模过程中,同步控制全从方案与约束事件触发机制不匹配,导致同步控制建模的控制触发时刻和间隔不理想,针对这一问题研究全新的非对称耦合网络,阵列信号传输过程同步控制建模方法.根据AIN框架组图,确定非对称耦合网络的混合相变;按照一定顺序性和规律性设计同步控制全从方案,建立模型同步控制算法;结合非对称耦合网络饱和状态,设置具有饱和约束的事件触发机制,建立阵列信号传输同步控制模型.仿真实验建立非对称程度不同的耦合网络,发现在模型同步控制过程中,所设计模型得到的信号传输轨迹更贴切,模型的同步控制触发时刻
This paper studies price-based residential demand response management (PB-RDRM) in smart grids, in which non-dispatchable and dispatchable loads (including general loads and plug-in electric vehicles (PEVs)) are both involved. The PB-RDRM is composed of a