In this work, several innovative robust neuroadaptive control algorithms are integrated via the command filtered backstepping approach for a class of mismatched uncertain nonlinear systems. They utilize neural network adaptive to achieve an enhanced model compensation effect. addition, different terms with positive time-varying integral expression synthesized each address external disturbances....

In this paper, slewing maneuver of a flexible spacecraft with large angle of rotation is considered and assuming structural frequency uncertainties a robust minimum-time optimal control law is developed. Considering typical bang-bang control commands with multiple symmetrical switches, a parameter optimization procedure is introduced to find the control forces/torques. The constrained minimizat...

There are several strategies for maintenance and repairing of devices in industry. However, they are still confronted with many uncertainties. A hydraulic lifting device after ten years of working in a technical center in Isfahan is faced with uncertainty in terms of reliability. Being able to know the reliability of pieces means predicting failure occurrences, which is accomplished by conditio...

In the case of widely-uncertain non-linear system control design, it was very difficult to design a single controller to overcome control design specifications in all of its dynamical characteristics uncertainties. To resolve these problems, a new design method of robust fuzzy control proposed. The solution offered was by creating multiple soft-switching with Takagi-Sugeno fuzzy model for optim...

There are several strategies for maintenance and repairing of devices in industry. However, they are still confronted with many uncertainties. A hydraulic lifting device after ten years of working in a technical center in Isfahan is faced with uncertainty in terms of reliability. Being able to know the reliability of pieces means predicting failure occurrences, which is accomplished by conditio...

Production planning and control (PPC) systems have to deal with rising complexity and dynamics. The complexity of planning tasks is due to some existing multiple variables and dynamic factors derived from uncertainties surrounding the PPC. Although literatures on exact scheduling algorithms, simulation approaches, and heuristic methods are extensive in production planning, they seem to be ineff...