Carlos Montañez-Molina
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Carlos Montañez-Molina has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Javier Pliego-Jiménez
Depto. de Electrnica y Telecomunicaciones, CICESE Carretera Ensenada-Tijuana, Ensenada, Mxico
2 shared publications - Adrian Arellano-Delgado
National Council of Humanities, Science and Technology (CONAHCYT), Ciudad de Mexico 03940, Mexico
1 shared publication - Carlos Andrés Villalobos-Aranda
Electronics and Telecommunications Department, Applied Physics Division, CICESE, Ensenada, Mexico
1 shared publication - Rigoberto Martínez-Clark
Facultad de Ciencias de la Ingeniería, Administrativas y Sociales, Universidad Autónoma de Baja California, Blvd. Universidad No. 1, Tecate 21460, Mexico
1 shared publication
Latest Publications
- 9 December 2024
- Published by Springer Nature in International Journal of Control, Automation, and Systems
- Vol. 22 (12) , 3684-3693
An Almost Global Trajectory Tracking Controller for Differential-drive Wheeled Mobile Robots
- 9 December 2024
- Published by Springer Nature in International Journal of Control, Automation, and Systems
- Vol. 22 (12) , 3684-3693
An Almost Global Trajectory Tracking Controller for Differential-drive Wheeled Mobile Robots
- Open Access
Formation and Flocking Control Algorithms for Robot Networks with Double Integrator Dynamics and Time-Varying Formations
In this work, we study the problem of designing control laws that achieve time-varying formation and flocking behaviors in robot networks where each agent or robot presents double integrator dynamics. To design the control laws, we adopt a hierarchical control approach. First, we introduce a virtual velocity, which is used as a virtual control input for the position subsystem (outer loop). The objective of the virtual velocity is to achieve collective behaviors. Then, we design a velocity tracking control law for the velocity subsystem (inner loop). An advantage of the proposed approach is that the robots do not require the velocity of their neighbors. Additionally, we address the case in which the second state of the system is not available for feedback. We include a set of simulation results to show the performance of the proposed control laws.
Open AccessFormation and Flocking Control Algorithms for Robot Networks with Double Integrator Dynamics and Time-Varying Formations
In this work, we study the problem of designing control laws that achieve time-varying formation and flocking behaviors in robot networks where each agent or robot presents double integrator dynamics. To design the control laws, we adopt a hierarchical control approach. First, we introduce a virtual velocity, which is used as a virtual control input for the position subsystem (outer loop). The objective of the virtual velocity is to achieve collective behaviors. Then, we design a velocity tracking control law for the velocity subsystem (inner loop). An advantage of the proposed approach is that the robots do not require the velocity of their neighbors. Additionally, we address the case in which the second state of the system is not available for feedback. We include a set of simulation results to show the performance of the proposed control laws.