Developed comparative analysis of metaheuristic optimization algorithms for optimal active control of structures
A developed comparative analysis of metaheuristic optimization algorithms has been used
for optimal active control of structures. The linear quadratic regulator (LQR) has ignored the …
for optimal active control of structures. The linear quadratic regulator (LQR) has ignored the …
A review of the controllers for structural control
A review of structural control focused on controllers is presented here. Several essential
considerations must be addressed while designing a controller for the semi-active control …
considerations must be addressed while designing a controller for the semi-active control …
Multiobjective and interactive genetic algorithms for weight tuning of a model predictive control-based motion cueing algorithm
Driving simulators are effective tools for training, virtual prototyping, and safety assessment
which can minimize the cost and maximize road safety. Despite the aim of a realistic motion …
which can minimize the cost and maximize road safety. Despite the aim of a realistic motion …
[HTML][HTML] Design and Implementation of model predictive control based PID controller for industrial applications
Advanced control approaches are essential for industrial processes to enhance system
performance and increase the production rate. Model Predictive Control (MPC) is …
performance and increase the production rate. Model Predictive Control (MPC) is …
Multi-objective design of state feedback controllers using reinforced quantum-behaved particle swarm optimization
A novel and generic multi-objective design paradigm is proposed which utilizes quantum-
behaved PSO (QPSO) for deciding the optimal configuration of the LQR controller for a given …
behaved PSO (QPSO) for deciding the optimal configuration of the LQR controller for a given …
Multi-objective LQR with optimum weight selection to design FOPID controllers for delayed fractional order processes
An optimal trade-off design for fractional order (FO)-PID controller is proposed with a Linear
Quadratic Regulator (LQR) based technique using two conflicting time domain objectives. A …
Quadratic Regulator (LQR) based technique using two conflicting time domain objectives. A …
A fuzzy based intelligent scheme for enhancing the performance of the optimal controllers by online weighting matrix selection in seismically excited nonlinear …
M Amirmojahedi, S Shojaee… - Engineering Structures, 2023 - Elsevier
In the present work, an effective strategy is proposed to improve the efficiency of the optimal
controllers that are based on minimizing a performance index by using a fuzzy controller. In …
controllers that are based on minimizing a performance index by using a fuzzy controller. In …
SDVN Enabled Traffic Light Cooperative Framework for E-SIoV Mobility in a Smart City Scenario
The Social Internet of Vehicles (SIoVs) is an advanced approach to vehicular networking
that connects specialized vehicles to share and exchange information, such as traffic jams …
that connects specialized vehicles to share and exchange information, such as traffic jams …
[HTML][HTML] Tuning of a linear-quadratic stabilization system for an anti-aircraft missile
W Bużantowicz - Aerospace, 2021 - mdpi.com
A description is given of an application of a linear-quadratic regulator (LQR) for stabilizing
the characteristics of an anti-aircraft missile, and an analytical method of selecting the …
the characteristics of an anti-aircraft missile, and an analytical method of selecting the …
Less conservative conditions for robust LQR-state-derivative controller design: an LMI approach
This study proposes less conservative conditions for robust linear quadratic regulator
controllers using state-derivative feedback (SDF). The algebraic Ricatti equation was …
controllers using state-derivative feedback (SDF). The algebraic Ricatti equation was …