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RISMany-Objective Optimal Design of Sliding Mode Controls
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper presents a many-objective optimal (MOO) control design of an adaptive and robust sliding mode control (SMC). A second-order system is used as an example to demonstrate the design method. The robustness of the ...
Performance Assessment of a New Stationarity-Based Parameter Estimation Method with a Simplified Land Surface Model Using In Situ and Remotely Sensed Surface States
Publisher: American Meteorological Society
Abstract: his study evaluates the performance of a new stationarity-based method for parameter estimation of a simple coupled water and energy balance model using in situ and remotely sensed surface soil moisture [from Advanced ...
An Experimental Study of Robustness of Multi Objective Optimal Sliding Mode Control
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper presents an experimental study of robustness of multiobjective optimal sliding mode control, which is designed in a previous study. Inertial and stiffness uncertainties are introduced to a two degreesoffreedom ...
Cluster Analysis and Switching Algorithm of Multi-Objective Optimal Control Design
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The multi-objective optimal control design usually generates hundreds or thousands of Pareto optimal solutions. How to assist a user to select an appropriate controller to implement is a postprocessing issue. In this paper, ...
Stationary Response Probability Distribution of SDOF Nonlinear Stochastic Systems
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: There has been no significant progress in developing new techniques for obtaining exact stationary probability density functions (PDFs) of nonlinear stochastic systems since the development of the method of generalized ...
Data-Driven Backstepping Control of Underactuated Mechanical Systems
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper studies control problems of underactuated mechanical systems with model uncertainties. The control is designed with the method of backstepping. The first-order low-pass filters are used to estimate the unknown ...
An Alternating Efficient Approach for Determination of the NonStationary Responses of Strongly Nonlinear Systems Driven by Random Excitations
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: An alternating efficient approach for predicting nonstationary response of randomly excited nonlinear systems is proposed by a combination of radial basis function neural network (RBFNN) and stochastic averaging method ...
Data-Driven Backstepping Control of Underactuated Mechanical Systems
Publisher: American Society of Mechanical Engineers (ASME)
Abstract: This paper studies control problems of underactuated mechanical systems with model uncertainties. The control is designed with the method of backstepping. The first-order low-pass filters are used to estimate the unknown ...
An Alternating Efficient Approach for Determination of the Non-Stationary Responses of Strongly Nonlinear Systems Driven by Random Excitations
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: An alternating efficient approach for predicting non-stationary response of randomly excited nonlinear systems is proposed by a combination of radial basis function neural network (RBFNN) and stochastic averaging method ...
Many-Objective Optimal and Robust Design of Proportional-Integral-Derivative Controls With a State Observer
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper presents a many-objective optimization (MaOO) approach to design control and observer gains simultaneously. The many-objective optimization (MaOO) approach finds trade-offs between different nonagreeable design ...