Search
CSV
RISDiscussion of “<i>Predicting Deflections of Reinforced Concrete Beams Analytically</i>” by Raed M. Samra (May, 1989, Vol. 115, No. 5)
Publisher: American Society of Civil Engineers
The Structure of Optimum Control Systems
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A large class of optimum control problems can be formulated as the variational problem of minimizing a known functional subject to isoperimetric and nonholonomic constraints. The (vector) Euler ...
The Design of Optimum Controllers for Linear Processes With Energy Limitations
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A special-purpose analog computer which can be used as the optimum controller for linear processes with energy-limited control inputs is described. The computer may be used to force the process ...
On the Multiple Generation of Coupler-Curves
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The existence of different linkages which generate identical coupler-curves is investigated. For a certain class of mechanisms, the skew pantograph is shown to be the basis for obtaining cognates. ...
Notes on Nonlinear Shell Theory
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Exact tensor equations of equilibrium are derived for nonlinear membrane shell theory and small perturbations of pressurized membrane shells. Approximate equations (for sufficiently small initial ...
New Results in Quasi-Optimum Control
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A technique of quasi-optimum control, developed by the author in 1966, has as its goal to permit one to use the apparatus of optimum control theory without having to solve the two-point ...
Limiting Forms of Optimum Stochastic Linear Regulators
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Of interest are the limiting forms of the optimum stochastic regulator which minimize the steady-state expectation, Es {x′ Qx+u′ Ru }, for the linear process, ẋ=Ax+Bu+Gv , given noisy observations ...