Diagram analysis

The diagram describes the complex email system as an example of a complex hybrid system. The complexity of this system lies in its digital design where the CT Cipher text E-Encrypt the Hash function Alice’s private key. This decryption is facilitated by Alice’s public key, and Bob’s private key, i.e., CT (k) and CT (m) acts as a digital signature message keys(Fang & Sun, 2014).

The messages sent by Alice to Bob are secured by an end to end encryption which involves combination security key. This encryption ensures the security of the signal being transferred is not compromised or cloned before it reaches the receiver. The digital signature in this complex hybrid system is used as a security link between Alice’s public and private keys. The encoded message sent by Bob is received by Alice as encrypted information and goes through a digest process to decrypt the message contained. The main reason to use the complex hybrid system in designing the structure of an email system is the guaranteed security of the information being transferred.

Advantages of complex hybrid systems in real life

Flexible to access and use

They provide greater system flexibility and thus are best options to evaluate complex systems. For example, one bus or platform could be chosen from a system whose instrumentation is limited to one bus. This problem is solved through implementation of a complex hybrid system which ensures there is a compatible combination of separate buses into one system. This architecture enables connectivity between buses and enhances software integration. The engineering discipline has widely applied the complex hybrid systems in controlling the complicated steps by use of mathematical equations and diagrams (Fang & Sun, 2014).

Improved data security

Additionally, complex hybrid systems have been used in communication as depicted in the above example. The system guarantees the users the protection of their transferred files since it incorporates the use of cryptography technology. Most complex hybrid systems use encrypted data transfer by integrating the photoelectron transfer formula. In the above-discussed case, the hybrid system has been incorporated to make it easier for the designer to build a more flexible and reliable email system (Zhao & Wang, 2009).

Hybrid systems have been used in extending the system longevity hence managing the test systems and balancing performance. Efforts to achieve this goal, the system ensures that it extends the life cycle longer than that of the test components used. This system also improves performance by use of scalability and cost-effective procedures. Unlike other tradition systems, complex hybrid system provides a platform where a developer has the liberty to change controller hardware or driver support successfully without losing the information stored (Zhao & Wang, 2009).

High reliability

The complex hybrid system is highly reliable compared to the traditional methods used to build networks. The system ensures controlled access of the data by controlling the logical decision making components. Since the system involves many consistent decisions and equations, it becomes easier to monitor each step involved and correct a fault. The sophisticated hybrid system uses both discrete and continuous control system which makes them more reliable in designing a modern system (Zhao & Wang, 2009).

Conclusion

We have discussed that the hybrid system are models of networks logical devices. The control of these devices depends on control programs that supervise the continuous and discrete systems governed by several steps and equations. These systems are applied for varied uses such as aircraft control, communication, industrial process control, and banking systems. The hybrid system will grow over time due to increasing demand for more complex and automatic control systems.

References

Fang, T., & Sun, J. (2014). Stability of complex-valued impulsive and switching system and application to the Lü system. Nonlinear Analysis: Hybrid Systems, 14, 38-46. doi:10.1016/j.nahs.2014.04.004

Zhao, C., & Wang, L. (2009). Computational Modeling of Complex Systems: Case Study in Real World. 2009 Ninth International Conference on Hybrid Intelligent Systems. doi:10.1109/his.2009.119