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Structured Singular Value (SSV) analysis (μ-analysis), a tool developed in the field of robust control, has been employed to provide information on the robustness of systems in the presence of multiple and simultaneous parameter variations from nominal values [ 11].
It is an important tool in many assessments of the reliability and robustness of systems, structures or solutions.
The article relates reliability, uncertainty, redundancy and robustness of systems of events and their application is illustrated in numerical examples.
Criteria such as system stability, controllability and effectiveness must be considered in order to be able to assess the dynamic robustness of systems designed to the averages.
Hence, our work provides evidence that homoclinic orbits of the underlying Hamiltonian system play a crucial role in efficient nonlinear energy transfers, even in high dimensional systems, and gives new insight into robustness of systems with essential nonlinearity.
Model-based systems engineering promotes the use of modeling and models as focal design artifacts to enhance the rigor and robustness of systems engineering activities throughout the various phases of a system's life cycle with an emphasis on the early, conceptual phases.
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Therefore, H∞robust controllers for translation and tilting of gimbal are designed to dampen the negative influence on stability and improve the robustness of system.
Then, implications to improve robustness of system design and tackle the surrounding factors and tendencies that could lead to the manifestation of human errors will be effectively addressed.
Having the underlying potential landscape, we can further study the global stability and robustness of system at different fluctuation strengths characterized by the diffusion coefficient D through computing the barrier height for oscillation and robustness ratio RR for monostability.
For oscillation state we also explore the effects of parameters on the stability and robustness of system by measuring the changes of barrier heights after giving parameters a perturbation level lp.
The control strategy ensures robustness property of systems in the presentence of dynamic uncertainties.
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