awesome-mecheng

> In the artificial systems that are specified by engineering control theory, the reference signal is considered to be an external input to the 'plant'.[7] In engineering control theory, the reference signal or set point is public; in PCT, it is not, but rather must be deduced from the results of the test for controlled variables, as described above in the methodology section. This is because in living systems a reference signal is not an externally accessible input, but instead originates within the system. In the hierarchical model, error output of higher-level control loops, as described in the next section below, evokes the reference signal r from synapse-local memory, and the strength of r is proportional to the (weighted) strength of the error signal or signals from one or more higher-level systems. [26] > In engineering control systems, in the case where there are several such reference inputs, a 'Controller' is designed to manipulate those inputs so as to obtain the effect on the output of the system that is desired by the system's designer, and the task of a control theory (so conceived) is to calculate those manipulations so as to avoid instability and oscillation. The designer of a PCT model or simulation specifies no particular desired effect on the output of the system, except that it must be whatever is required to bring the input from the environment (the perceptual signal) into conformity with the reference. In Perceptual Control Theory, the input function for the reference signal is a weighted sum of internally generated signals (in the canonical case, higher-level error signals), and loop stability is determined locally for each loop in the manner sketched in the preceding section on the mathematics of PCT (and elaborated more fully in the referenced literature). The weighted sum is understood to result from reorganization. > Engineering control theory is computationally demanding, but as the preceding section shows, PCT is not. For example, contrast the implementation of a model of an inverted pendulum in engineering control theory [27] with the PCT implementation as a hierarchy of five simple control systems. [28] Structural Equation Modeling: https://en.wikipedia.org/wiki/Structural_equation_modeling https://github.com/topics/structural-equation-modeling ros2_control https://control.ros.org/master/index.html Limit cycle https://en.wikipedia.org/wiki/Limit_cycle Finite Element Analysis https://en.wikipedia.org/wiki/Finite_element_method > #FEM: Finite Element Method (for ~solving coupled PDEs Partial Differential Equations) > #FEA: Finite Element Analysis (applied FEM) awesome-mecheng > Finite Element Analysis: https://github.com/m2n037/awesome-mecheng#fea

l for daily work & small 3D printing tasks. But sadly it's not very useful for very big construction that consists of many sub-models yet... > and very stable Not so stable. Be careful - while SolveSpace often work like a charm, if you create redundant constrains it could freeze your PC very fast! Just need be careful with constrains and complex models design in SolveSpace. [0] https://eribuijs.blogspot.com/2016/09/switching-from-freecad... [1] https://www.youtube.com/channel/UCPwwPIXHMZYcVyJ2SuRJjuA [2] https://github.com/m2n037/awesome-mecheng#competitions [3] https://github.com/symbian9/reddit_cad_challenge