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SIMULATION RELATIONS AND CONTROLLABILITY PROPERTIES OF LINEAR AND NONLINEAR CONTROL SYSTEMS

机译:线性和非线性控制系统的仿真关系和可控制性

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We examine to what extent nonlinear input-disturbance systems that are connected by a simulation relation share certain controllability properties. We derive several results that fit within the paradigm that if there is a simulation relation of a system A by a system B, and if system A has a specified controllability property, then system B has that same property. As expected, one can only turn the paradigm into actual theorems by imposing appropriate assumptions on the systems and/or the simulation relation. We prove three such results. The first result we obtain deals with the property of complete controllability, where we impose minimal assumptions on the input-disturbance systems but require that the simulation relation be the graph of a smooth surjection between the systems' state spaces that satisfies a certain compactness condition. The second result deals with a somewhat weaker notion of controllability modulo the kernel of a linear mapping, where it is assumed that system B is "almost linear," but where the simulation relation is the zero set of a smooth mapping of a specific form (but is not necessarily the graph of a function). The third result (and the most difficult to prove) also deals with the property of complete controllability and, while imposing minimal assumptions on the input-disturbance systems, allows the simulation relation to be the zero set of a smooth function (and so not necessarily a graph), though other somewhat restrictive assumptions do have to be imposed. We conclude with several examples to illustrate our results.
机译:我们研究了通过仿真关系连接的非线性输入扰动系统在多大程度上共享某些可控制性。我们得出了适合该范式的几个结果:如果存在系统B对系统A的仿真关系,并且系统A具有指定的可控制性,则系统B具有相同的属性。不出所料,只能通过在系统和/或仿真关系上施加适当的假设,将范式转变为实际定理。我们证明了三个这样的结果。我们获得的第一个结果涉及完全可控性,其中我们在输入扰动系统上施加了最小假设,但要求模拟关系必须是满足一定紧凑性条件的系统状态空间之间的平滑超越图。第二个结果处理的是线性映射的核模,其可控制性概念稍弱一些,其中假定系统B是“几乎线性的”,但模拟关系是特定形式的平滑映射的零集(但不一定是函数的图)。第三个结果(也是最难证明的)还涉及完全可控性的性质,并且在对输入扰动系统施加最小假设的同时,允许模拟关系成为平滑函数的零集(因此不一定)图),尽管必须施加其他一些限制性假设。我们以几个例子来说明我们的结果。

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