With a focus on an industrial multivariable system, two subsystems including the flow and the level outputs are analysed and controlled, which have applicability in both real and academic environments. In such a case,...With a focus on an industrial multivariable system, two subsystems including the flow and the level outputs are analysed and controlled, which have applicability in both real and academic environments. In such a case, at first, each subsystem is distinctively represented by its model, since the outcomes point out that the chosen models have the same behavior as corresponding ones. Then, the industrial multivariable system and its presentation are achieved in line with the integration of these subsystems, since the interaction between them can not actually be ignored. To analyze the interaction presented, the Gershgorin bands need to be acquired, where the results are used to modify the system parameters to appropriate values. Subsequently, in the view of modeling results, the control concept in two different techniques including sequential loop closing control(SLCC) scheme and diagonal dominance control(DDC) schemes is proposed to implement on the system through the Profibus network, as long as the OPC(OLE for process control) server is utilized to communicate between the control schemes presented and the multivariable system. The real test scenarios are carried out and the corresponding outcomes in their present forms are acquired. In the same way, the proposed control schemes results are compared with each other, where the real consequences verify the validity of them in the field of the presented industrial multivariable system control.展开更多
As an important mechanism in multi-agent interaction,communication can make agents form complex team relationships rather than constitute a simple set of multiple independent agents.However,the existing communication ...As an important mechanism in multi-agent interaction,communication can make agents form complex team relationships rather than constitute a simple set of multiple independent agents.However,the existing communication schemes can bring much timing redundancy and irrelevant messages,which seriously affects their practical application.To solve this problem,this paper proposes a targeted multiagent communication algorithm based on state control(SCTC).The SCTC uses a gating mechanism based on state control to reduce the timing redundancy of communication between agents and determines the interaction relationship between agents and the importance weight of a communication message through a series connection of hard-and self-attention mechanisms,realizing targeted communication message processing.In addition,by minimizing the difference between the fusion message generated from a real communication message of each agent and a fusion message generated from the buffered message,the correctness of the final action choice of the agent is ensured.Our evaluation using a challenging set of Star Craft II benchmarks indicates that the SCTC can significantly improve the learning performance and reduce the communication overhead between agents,thus ensuring better cooperation between agents.展开更多
为了满足固沙机功能集成化、智能化方向发展需求,设计了一种智能草沙障固沙机控制系统,采用主从式控制系统结构,以双Arduino Mega 2560为核心主控器,使用模块化对控制系统的硬件和软件进行设计;纵向铺设控制模块、底盘升降控制模块和播...为了满足固沙机功能集成化、智能化方向发展需求,设计了一种智能草沙障固沙机控制系统,采用主从式控制系统结构,以双Arduino Mega 2560为核心主控器,使用模块化对控制系统的硬件和软件进行设计;纵向铺设控制模块、底盘升降控制模块和播种控制模块采用增量式PID控制算法;横向铺设控制模块采用位置式PID控制算法,并结合YOLOv3实现草沙障的检测追踪;以触摸屏和基于蓝牙的固沙机控制Android APP为人机交互界面。控制系统试验结果表明:基于PID算法检测追踪方式与直插式铺设方式相比,采用检测追踪方式固沙机的横向犁沙宽度减小了78.7%,整车振动减小了42.6%,草沙障铺设和播种测试功能均达到样机设计预期,为智能化固沙机研究提供了一种切实可行的设计方案。展开更多
文摘With a focus on an industrial multivariable system, two subsystems including the flow and the level outputs are analysed and controlled, which have applicability in both real and academic environments. In such a case, at first, each subsystem is distinctively represented by its model, since the outcomes point out that the chosen models have the same behavior as corresponding ones. Then, the industrial multivariable system and its presentation are achieved in line with the integration of these subsystems, since the interaction between them can not actually be ignored. To analyze the interaction presented, the Gershgorin bands need to be acquired, where the results are used to modify the system parameters to appropriate values. Subsequently, in the view of modeling results, the control concept in two different techniques including sequential loop closing control(SLCC) scheme and diagonal dominance control(DDC) schemes is proposed to implement on the system through the Profibus network, as long as the OPC(OLE for process control) server is utilized to communicate between the control schemes presented and the multivariable system. The real test scenarios are carried out and the corresponding outcomes in their present forms are acquired. In the same way, the proposed control schemes results are compared with each other, where the real consequences verify the validity of them in the field of the presented industrial multivariable system control.
文摘As an important mechanism in multi-agent interaction,communication can make agents form complex team relationships rather than constitute a simple set of multiple independent agents.However,the existing communication schemes can bring much timing redundancy and irrelevant messages,which seriously affects their practical application.To solve this problem,this paper proposes a targeted multiagent communication algorithm based on state control(SCTC).The SCTC uses a gating mechanism based on state control to reduce the timing redundancy of communication between agents and determines the interaction relationship between agents and the importance weight of a communication message through a series connection of hard-and self-attention mechanisms,realizing targeted communication message processing.In addition,by minimizing the difference between the fusion message generated from a real communication message of each agent and a fusion message generated from the buffered message,the correctness of the final action choice of the agent is ensured.Our evaluation using a challenging set of Star Craft II benchmarks indicates that the SCTC can significantly improve the learning performance and reduce the communication overhead between agents,thus ensuring better cooperation between agents.
文摘为了满足固沙机功能集成化、智能化方向发展需求,设计了一种智能草沙障固沙机控制系统,采用主从式控制系统结构,以双Arduino Mega 2560为核心主控器,使用模块化对控制系统的硬件和软件进行设计;纵向铺设控制模块、底盘升降控制模块和播种控制模块采用增量式PID控制算法;横向铺设控制模块采用位置式PID控制算法,并结合YOLOv3实现草沙障的检测追踪;以触摸屏和基于蓝牙的固沙机控制Android APP为人机交互界面。控制系统试验结果表明:基于PID算法检测追踪方式与直插式铺设方式相比,采用检测追踪方式固沙机的横向犁沙宽度减小了78.7%,整车振动减小了42.6%,草沙障铺设和播种测试功能均达到样机设计预期,为智能化固沙机研究提供了一种切实可行的设计方案。
