A
Abhinav Sinha
Researcher at Indian Institute of Technology Bombay
Publications - 38
Citations - 436
Abhinav Sinha is an academic researcher from Indian Institute of Technology Bombay. The author has contributed to research in topics: Sliding mode control & Control theory. The author has an hindex of 8, co-authored 38 publications receiving 237 citations. Previous affiliations of Abhinav Sinha include Indian Institutes of Technology & Council of Scientific and Industrial Research.
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Supertwisting Control-Based Cooperative Salvo Guidance Using Leader–Follower Approach
TL;DR: An improved estimate of time-to-go, that does not assume interceptor's small heading angle, is used in the guidance design, which allows the guidance strategy to remain effective even for large initial heading of the interceptor.
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Control of a nonlinear continuous stirred tank reactor via event triggered sliding modes
TL;DR: An event driven sliding mode control is presented in this work to regulate the temperature and concentration states very close to the equilibrium points of a CSTR to maintain desired performance with minimum computational cost.
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Event-triggered sliding mode based consensus tracking in second order heterogeneous nonlinear multi-agent systems
TL;DR: Numerical simulations and mathematical foundations confirm the effectuality of the controller proposed in this study, an event-based sliding mode controller based on a novel sliding mode reaching law based on inverse sine hyperbolic function.
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Three-Dimensional Nonlinear Cooperative Salvo Using Event-Triggered Strategy
TL;DR: Two different three-dimensional (3D) cooperative guidance strategies for a group of interceptors aiming a simultaneous interception of a stationary target are proposed.
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Consensus in first order nonlinear heterogeneous multi-agent systems with event-based sliding mode control
TL;DR: Numerical simulations and mathematical foundations ascertain the effectuality of the controller proposed herein, which lies in the robustness capabilities of sliding mode controller and reduced computational expense of event-based mechanism.