How did multiple-loop control systems make automation more complex?

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Multiple-loop control systems increased the complexity of automation by shifting away from the limitations of classical, single-loop control theory, where feedback and correction were restricted to a single point in a process.1

In multiple-loop systems, feedback is initiated at multiple points, and corrections are applied from multiple points. This approach is necessary for large, complex systems where internal variables are interdependent—meaning the value of one variable depends on the values of others. Because single-loop techniques are insufficient for these interconnected processes, engineers must employ more sophisticated mathematical and computational methods to manage the system.12

The transition to these complex systems was facilitated by the introduction of analogue and digital computing equipment, which allowed for the development of "modern control" theory. This evolution enables the integration of advanced functions such as adaptive control, where a system identifies its state, makes decisions, and modifies its own operation to achieve optimal performance. Consequently, these systems can handle highly interconnected industrial environments that were previously beyond the reach of simpler, conventional control devices.123