IC697CMM711A
IC697CMM711A、MCR指令的目标元件为Y和M，但不能用特殊辅助继电器。MC占3个程序步，MCR占2个程序步；2）主控触点在梯形图中与一般触点垂直。主控触点是与左母线相连的常开触点，是控制一组电路的开关。与主控触点相连的触点必须用LD或LDI指令。
3）MC指令的输入触点断开时，在MC和MCR之内的积算定时器、计数器、用复位/置位指令驱动的元件保持其之前的状态不变。非积算定时器和计数器，用OUT指令驱动的元件将复位，22中当X0断开，Y0和Y1即变为OFF。
4）在一个MC指令区内若再使用MC指令称为嵌套。嵌套级数*多为8级，编号按N0→N1→N2→N3→N4→N5→N6→N7顺序增大，每级的返回用对应的MCR指令，从编号大的嵌套级开始复位。
堆栈指令（MPS/MRD/MPP）
If we look at the relationship between brain science and brain like algorithm research in this way, we may find many basic laws that can be used for reference. Here are a few examples. The first is that we can learn from the brain how to better realize the modularization of algorithm design. Modular design has long been adopted by computer science. In such a design, the solution of the problem is divided into several fixed parts (sub problems), and each calculation module (subroutine) is only responsible for dealing with one of them. The advantage of this design is that it can greatly simplify the algorithm design, easy to debug, easy to modify, and gradually improve and add functions. More importantly, problems that look different on the surface can often be decomposed into similar sub problems, which makes modules reusable, greatly improves efficiency and makes highly simplified systems capable of complex and diverse tasks [7]. The advantages of modular design are obvious, but in the face of a series of specific problems, how to divide molecular problems most efficiently is a difficult task in itself. This may be one of the important knowledge we can learn from the brain. The real brain is an example of modular design. Each brain region or sub region is res, ani, andp, andf are x, y, m, t, C, and s.
