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TheSMOCalgorithmisnearlyequivalenttosolvingtheLQRproblemwithinputandoutputconstraints... The SMOC algorithm is nearly equivalent to solving the LQR problem with input and output constraints, except that it is still formulated on a finite horizon. As such, it does not inherit the strong stabilizing properties of the LQR algorithm. A stabilizing, infinite-horizon formulation of the constrained LQR algorithm would come only after academics began to embrace the MPC paradigm in the 1990s (Rawlings & Muske, 1993; Scokaert & Rawlings, 1998).
The IDCOM-M, HIECON, SMCA, and SMOC algorithms represent a third generation of MPC technology; others include the PCT algorithm sold by Profimatics, and the RMPC algorithm sold by Honeywell. This generation distinguishes between several levels of constraints (hard, soft, ranked), provides some mechanism to recover from an infeasible solution, addresses the issues resulting from a control structure that changes in real time, provides a richer set of options for feedback, and allows for a wider range of process dynamics (stable, integrating and unstable) and controller specifications.
2.6.DMC-plus and RMPCT In the last 5 years, increased competition and the mergers of several MPC vendors have led to significant changes in the industrial MPC landscape. In late 1995 Honeywell purchased Profimatics, Inc. and formed Honeywell Hi-Spec Solutions. The RMPC algorithm offered by Honeywell was merged with the Profimatics PCT controller to create their current offering called RMPCT. In early 1996, Aspen Technology Inc. purchased both Setpoint, Inc. and DMC Corporation. This was followed by acquisition of Treiber Controls in 1998. The SMCA and DMC technologies were subsequently merged to create Aspen Technology’s
current DMC-plus product. DMC-plus and RMPCT are representative of the fourth generation MPC technology sold today, with features such as:
* Windows-basedgraphical user interfaces.
* Multipleoptimization levels to address prioritized control objectives.
* Additionalflexibility in the steady-state target optimization, including QP and economic objectives.
* Direct considerationof model uncertainty (robust control design).
* Improvedidentification technology based on prediction error method and sub-space ID methods.
These and other MPC algorithms currently available in the marketplace are described in greater detail in the next section.
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莫然513
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SMOC算法是相当具有输入输出约束求解LQR问题,但它仍然是一个有限的地平线上制定。因此,它不是继承的强稳定性质的LQR算法。一个稳定的LQR算法,约束的无限的地平线制剂只能在学术界开始接受MPC范式在20世纪90年代(罗林斯和muske,1993;Scokaert及罗琳斯,1998)。该idcom-m,hiecon,SMCA,SMOC算法和代表三分之一代MPC技术;其他包括PCT算法被profimatics,和霍尼韦尔出售的RMPC算法。这一代的约束多层次区分(硬,软,排名),提供了一些机制来从一个不可行解的恢复,地址的控制结构,在实时变化的问题,提供了一组丰富的可供选择的反馈,并允许更大范围的过程动力学(稳定,积分和不稳定specifications.2.6.dmc-plus RMPCT控制器),并在过去的5年里,竞争的加剧和几个MPC供应商的合并导致了工业MPC景观变化显著。1995年底,霍尼韦尔收购profimatics,公司形成了霍尼韦尔HI规格的解决方案。霍尼韦尔提供的RMPC算法与profimatics PCT控制器合并创建他们目前提供的称为RMPCT。1996年初,艾斯苯技术公司购买了设定值,Inc.和DMC公司。其次是treiber控制采集1998。技术随后被合并产生的白杨technology'scurrent SMCA和DMC DMC plus产品。DMC plus和RMPCT是第四代MPC技术销售代表,与特点:* Windows basedgraphical用户界面。* multipleoptimization水平地址优先级控制的目标。*在稳态目标优化additionalflexibility,包括QP和经济目标。*直接考虑模型的不确定性(鲁棒控制设计)。*基于预测错误的方法和子空间识别方法improvedidentification技术。这些和其他的MPC算法目前在市场上有更详细的描述,在下一节。
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台雨淘
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推荐!!!!!!!百度在线翻译
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兄弟, 你太偷懒了吧,自己搞!
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