ID	原文	译文
53127	本文基于规则的实时特性提出了一种面向物联网控制规则的端云动态分配方法(EasiDEP)，	Based on the real-time characteristics of the rules, this paper proposes an end-cloud dynamic allocation method(EasiDEP) for the control rules of the Internet of Things system,
53128	以提高物联网系统控制规则的实时性。	so as to improve the real-time performance of the control rules of the Internet of Things system.
53129	首先，根据规则之间的相关性以及实时特性，提出了一种规则聚类算法，将规则库中的规则分为实时和无实时规则;	Firstly, according to the correlation between rules and real-time characteristics, a rule clustering algorithm is proposed, which divides the rules in the rule base into real-time and non-real-time rules.
53130	然后，基于规则聚类结果提出一种端云动态规则分配方法，将实时规则分发至云端和本地规则服务端同时处理，提高实时规则的触发执行率。	Then, based on the result of rule clustering, a dynamic rule allocation method is proposed to distribute real-time rules to the cloud and local rule server for simultaneous processing, so as to improve the execution rate of real-time rules.
53131	最后，通过实验验证了EasiDEP能够有效地提高物联网控制规则的实时触发执行率，降低系统发生控制安全事故的风险。	Finally, the experiment verifies that EasiDEP can effectively improve the real-time trigger execution rate of Internet of Things control rules and reduce the risk of control security accidents.
53132	考虑输入仿射非线性约束系统的安全与经济优化控制问题，提出一种约束非线性系统高效安全经济模型预测控制(SEMPC)策略。	This paper considers the safety and economic optimization control problems of input-affine constrained nonlinear systems and an efficient safe economic model predictive control(SEMPC) strategy is proposed for constrained nonlinear systems.
53133	首先引入控制李雅普诺夫障碍函数(CLBF)概念，设计系统运行安全约束和参数化非线性局部控制律。	Firstly, the concept of control Lyapunov-barrier function(CLBF) is introduced to design the safe operation constraints and parameterized nonlinear local control laws of the system.
53134	为平衡SEMPC的在线计算量和经济优化性能，构造约束非线性系统的参数化双模模型预测控制(MPC)控制器，	In order to make a trade-off between the online computational burden and economic optimization performance of SEMPC, the parameterized dual-mode MPC controller is constructed for the constrained nonlinear system.
53135	其中，控制器自由参数在系统状态进入终端域后在线优化确定。	The free parameters of the dual-mode MPC are calculated online when the states of the system enter the terminal domain.
53136	进一步，应用双模控制原理和控制李雅普诺夫函数性质，证明SEMPC策略的递推可行性和闭环系统的渐近稳定性。	Moreover, recursive feasibility of the SEMPC and asymptotic stability of the closed-loop system are established by the dual-mode control principle and the properties of control Lyapunov function(CLF).