Zeros of orthogonal polynomials

Feedback systems: Input-output properties

Thank you very much for downloading l2 gain and passivity techniques in nonlinear control. Maybe you have knowledge that, people have search numerous times for their chosen books like this l2 gain and passivity techniques in nonlinear control, but end up in malicious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they are facing with some harmful virus inside their desktop computer.

L2 Gain And Passivity Techniques In Nonlinear Control

By searching the title, publisher, or authors of guide you in reality want, you can discover them rapidly. In the house, workplace, or perhaps in your method can be all best place within net connections. If you objective to download and install the guidance and control of ocean vehicles, it is utterly easy then, past currently we extend the colleague to buy and make bargains to download and install guidance and control of ocean vehicles therefore simple!

Guidance And Control Of Ocean Vehicles

Hidden attractors in dynamical systems

Autonomous exploration is an important application of multi-vehicle systems, where a team of networked robots are coordinated to explore an unknown environment collaboratively. This technique has earned significant research interest due to its usefulness in search and rescue, fault detection and monitoring, localization and mapping, etc. In this paper, a novel cooperative exploration strategy is proposed for multiple mobile robots, which reduces the overall task completion time and energy costs compared to conventional methods. To efficiently navigate the networked robots during the collaborative tasks, a hierarchical control architecture is designed which contains a high-level decision making layer and a low-level target tracking layer. The proposed cooperative exploration approach is developed using dynamic Voronoi partitions, which minimizes duplicated exploration areas by assigning different target locations to individual robots. To deal with sudden obstacles in the unknown environment, an integrated deep reinforcement learning based collision avoidance algorithm is then proposed, which enables the control policy to learn from human demonstration data and thus improve the learning speed and performance. Finally, simulation and experimental results are provided to demonstrate the effectiveness of the proposed scheme.

/pdf/voronoi-based-multi-robot-autonomous-exploration-in-unknown-27o1s05xru.pdf

Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning

Communication delays are problematic for teleoperated systems. They give rise to a tradeoff between speed and robustness, which cannot be overcome by means of linear controllers. In order to solve this problem, in this paper, we present a novel approach that combines passivity-based techniques and reset-control principles. In this way, it is possible to obtain simultaneously the robust stability properties of passive control and the performance improvement enabled by reset strategies. Experimental and simulation results are presented, which confirm the good behavior achieved with this method.

/pdf/reset-control-for-passive-bilateral-teleoperation-1dy1fw05tc.pdf

Reset Control for Passive Bilateral Teleoperation

Reset control systems are a special type of impulsive hybrid systems in which the time evolution depends both on continuous dynamics between resets and the discrete dynamics corresponding to the reset instants. In this work, stability of reset control systems is approached by using an equivalent (time-varying) discrete time system, introducing new sufficient stability conditions that explicitly depend on the reset times. The stability conditions overcome previous results such as the -condition and can be also applied to reset systems with unstable base system. In addition, stabilization of reset control systems is approached for systems with stable base system, resulting in that a reset control system can be always stabilized if reset intervals are forced to be large enough, avoiding resets at some crossings if necessary.

Reset Times-Dependent Stability of Reset Control Systems

https://www.research.manchester.ac.uk/portal/files/109871632/EWT.pdf

Joaquin Carrasco

Papers

Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning

Reset Control for Passive Bilateral Teleoperation

Reset Times-Dependent Stability of Reset Control Systems

Vibration analysis for large-scale wind turbine blade bearing fault detection with an empirical wavelet thresholding method

Zames-Falb multipliers for absolute stability: from O'Shea's contribution to convex searches