With this formulation, the minimization of the disturbance effect on the residual is formulated as a standard H∞ filtering problem and the design is solved using an algebraic Riccati equation.
With this formulation, the minimization of the disturbance effect on the residual is formulated as a standard H∞ filtering problem and the design is solved using standard H∞ techniques.
With this formulation, linear release of IVM was obtained.
With this formulation, implicit schemes can be implemented to avoid the difficult numerical stiffness associated with explicit schemes.
With this formulation, the MOL is easily implemented and sophisticated time integration packages can be used without significant amount of work.
With this formulation, we derive closed-form solutions for the optimal processing time when the CVIP data distribution follows a fixed sequence.
With this formulation, RL can be extended to a multi-optima search problem in which several policy alternatives can be considered.
With this formulation, we succeed in designing a full-order dynamic feedback which ensures exponential stabilization and additional multi-objective constraints (an H∞ criterion and a closed-loop pole location).
With this formulation, the core issue of noise reduction becomes how to design an optimal frequency-domain filter that can significantly suppress noise without introducing perceptually noticeable speech distortion.
With this formulation, the velocity at any spatial location may be calculated, including at and very near the point forces; these locations typically lead to numerical difficulties due to the singularity within the Stokeslet when using other methods.
With this formulation, including contact separation in the analysis amounts to replacing a call to a linear equation solver by a call to an LCP solver, a modification of only two steps of the procedure.
