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#The design procedure is easily understandable, systematic and useful. Therefore, the coefficients of the CDM controller polynomials can be determined more easily than those of the [[PID controller|PID]] or other types of controller. This creates the possibility of an easy realisation for a new designer to control any kind of system.
# There are explicit relations between the performance parameters specified before the design and the coefficients of the controller polynomials as described in.<ref>S. Manabe (1998), "''Coefficient Diagram Method''", 14th IFAC Symp. on Automatic Control in Aerospace, Seoul.</ref> For this reason, the designer can easily realize many [[control system]]s having different performance properties for a given control problem in a wide range of freedom.
# The development of different tuning methods is required for [[time delay]]{{dn|date=May 2021}} processes of different properties in PID control. But it is sufficient to use the single design procedure in the CDM technique. This is an outstanding advantage.<ref>S.E. Hamamci, I. Kaya and D.P. Atherton, "''Smith predictor design by CDM''", Proceedings of the ECC’01 European Control Conference, Semina´rio de Vilar, Porto, Portugal, 2001.</ref>
# It is particularly hard to design robust controllers realizing the desired performance properties for unstable, integrating and oscillatory processes having poles near the imaginary axis. It has been reported that successful designs can be achieved even in these cases by using CDM.<ref>S. Manabe, "''A low cost inverted pendulum system for control system education''", The 3rd IFAC Symposium on advances in Control Education, Tokyo, 1994.</ref>
# It is theoretically proven that CDM design is equivalent to LQ design with proper state augmentation. Thus, CDM can be considered an ‘‘improved LQG’’, because the order of the controller is smaller and weight selection rules are also given.<ref>S. Manabe, "''Analytical weight selection for LQ design''", Proceedings of the 8th Workshop on Astrodynamics and Flight Mechanics, Sagamihara, ISAS, 1998.</ref>
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