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In the case of static constraints, the matrix is considered constant over time.
These remaining concerns are then internalized as static constraints within the problem's formulation.
They deal with thickness and shape optimization problems subjected to dynamic and static constraints, respectively.
However, in this study we focused only on static constraints and we aggregated time-varying constraints for simplicity.
The Object Constraint Language (OCL) is widely used to express static constraints on models and object-oriented systems.
They deal with thickness and stacking sequence optimization problems for circular cylindrical shells subjected to various dynamic and static constraints, respectively.
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Based on the nonlinear analysis results, a static constraint restricting the large deflection geometrical nonlinearity degree is established.
However, the formulation of a static constraint satisfaction problem (CSP) with hard, imperative constraints is insufficient to model many real problems.
The optimal control problem defined here has dynamic constraints of nonlinear system states and static constraint of a known form of fuzzy controller.
Regarding the optimization of the objective function, the functional, multi-dimensional, static, constraint, continuous, single-objective, and meta-heuristic optimizations were applied.
A method is described to model the dynamics of the Timoshenko beam finite element in terms of static constraint modes and interface restrained assumed modes.
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