Parameters of harmonic balance need to articulate on global variables on behalf of high stability and high efficiency in biological systems. Harmonic balance is one of the most cost-effective strategies for protecting and boosting biological systems against any invisible entities aggression. Parameters of harmonic balance promote productivities in system performances and improve social behavior patterns. Designated harmonic parameters prevent demand generation of invisible entities and attenuate exponentially against structural complexities, which appear on the evolutionary path of system activities.
One of the substantial parameters of harmonic balance is closed-loop feedback process, which has not proportion of overhead costs compared to extreme austerity measures.
A closed-loop feedback process as a vital parameter in harmonic balance can implement in biological systems and non-biological systems through input channels and it plays a key role for restoring a harmonic balance.
Feedback parameters modify non-biological systems by unlocking codes, solving errors, deciding on solution mode and supply new code with effective solution-patterns. Non-biological systems can perform with good harmonic balance through closed-loop feedback process. For example, high attention, dynamic interactions, and divergence together with convergence diagnose for harmonic performances. Algorithm parameters are always updated by system administrators according to global structure in order to reduce system random breakdowns to minimize expected costs.
A closed-loop feedback process in biological systems functions through observations and report failures. Feedback process supposes to detect error parameters on system performances prior to breakdown mode. Feedback process improves algorithm failures and return biological systems to normal mode. Biological systems can stabilize under high attention, dynamic interactions, and diagnostic/prognosis tests for harmonic performances. Closed-loop Feedback process create always reinforcement and harmonic balance in biological systems.
According to experimental observations with goldfishes during 3 years, parameters of harmonic balance have been generated in goldfishes through high attention on environmental factors and dynamic interactions. Goldfishes live longer and happier than those other goldfishes without parameters of harmonic balance. Gestural exchanges and eye contacts in dynamic interactions imply a sort of closed-loop feedback.
Missing to articulate a feedback process on automate parameters within global variables urge non-biological systems to develop in the waterfall life cycle model.
The iterative life cycle model creates comprehensive solutions for bugs on the evolutionary path of system performances. Systems owners have better economic awareness on system environments and more perspective on harmonic balance for biological systems. However, implementation of life cycle model requires extra time and assets allowance. It is cost effective to implement the iterative life cycle model in non-biological systems.