This Tutorial presentation first gives an overview of the research carried out by Prof. Yedavalli and his group on stability and robustness of dynamic systems described by linear state space models with applications in aerospace, mechanical and electrical systems using both eigenvalue based stability assessment via Transformation Compliant (TC) methods such as the Routh-Hurwitz Criterion, Cayley-Hamilton Theorem, and Lyapunov Matrix Equation methods (which are all equivalent to each other) as well as sign pattern based Qualitative Sign Stability (QLSS) approach being used by ecology researchers. Then, by juxtaposing these two extreme viewpoints, namely TC and QLSS methods, his startup firm RES proposes a new method without using eigenvalues at all so that we achieve significant computational savings. This new Convex Stability concept (as opposed to Hurwitz stability (for continuous time systems) and Schur stability (for discrete time and sampled data systems) is a completely different and innovative concept, essentially positively disrupting the current control systems and signal processing design algorithms, as evidenced by the issuance of an already awarded US Patent (and another potential patent to be awarded soon by the India patent office). The novel Transformation Allergic (TA) Approach and the associated Convex Stability concept invented by our firm’s RES CSSP Toolbox has emphatically proved that the current literature eigenvalue based control and signal processing methods being followed by the TC methods (mentioned above) have significant flaws and thus are leading to misleading conclusions about the actual stability of a dynamic system in all the real world applications, especially in the Autonomous Aerial Vehicles (AAV) applications . Thus, this tutorial is well suited for the ETAAV conference because the proposed Convex Stability concept is poised to become an Emerging Technology.

Unmanned aerial system are becoming ubiquitous and its applications are increasing exponentially. Use-cases for such systems varies from offensive use in defence to urban transport of goods and humans. These use-cases provide challenges in designing UAS considering i) the vehicle size and weight could vary from submeter and few kilograms to few meters and few hundred kilograms ii) operations in remote areas and urban areas iii) lifting mechanism and power plant variations iv) integration with existing infrastructure etc. This workshop will provide exposure to the Systems Engineering approach to complex system design. This workshop will help the participants to apply various Systems Engineering processes applicable for need and stakeholder analysis to verification and validation process. This workshop will motivate participants to approach the system design holistically for complete life cycle of the system. Systems Engineering is a practice-based subject, a live example will be presented to describe the systems engineering processes. Technical processes given in INCOSE handbook ISO15288 will be used to describe the systems engineering framework.

Modelling of the system is precursor to control design and simulation. Growth of UAV is expanding leaps and bounds, so the flight envelops, leading to operations which are docile and challenging. Expansion of the flight envelop means need for realistic models capturing the entire operation range which can be used for developing navigation, guidance and control strategy. In this workshop participants will be exposed to modelling of realistic effects i.e. aerodynamics, propulsion, mechanics, and coupling between these etc. These models can be used to capture the behavior of UAV covering the entire flight envelope. In literature fixed wing and multi-copter models are presented individually with few aspects covering high fidelity as desired by the problem. There is a need to bring the models as a single unit and demonstrate their utility.

Modelling of the system is precursor to control design and simulation. The workshop will focus on simulation the dynamic models for aerial vehicles, including fixed-wing aircraft and multi-copters. Popular tools like Gazebo, Matlab/Simulink and python are commonly used by researchers and industry. Many times, physics simulator and the controller are developed in different environments and need interfacing for testing. ROS is very popular for such applications and its platform agnostic characteristics offer a big advantage. In this workshop, participants will get an exposure to connect physics simulator to a controller being executed on a similar environment or a different environment. Suitable examples will be used to demonstrate the cross-platform connectivity. This workshop is recommended for researchers / practitioners engaged in development of navigation, guidance and control strategies for UAVs.

This tutorial explores state of the art edge computing and computer vision solutions tailored for Unmanned Aerial Vehicles (UAVs). The participants will get to learn about challenges in on-board computing in drones and challenges in neural network deployment while experiencing a walk-through of deployment of a neural network based computer vision model on a resource constrained device like Raspberry Pi with wildlife management as an example case study. The tutorial will cover topics on hardware challenges, software challenges and conclude with a deployment use case example.

This tutorial covers three aspects of SAGINs: (1) Resource allocation, which involves dynamically assigning subcarriers, time slots, and power to users based on their channel conditions and service requirements, maximizing spectral efficiency and fairness; (2) Satellite handover strategies in LEO networks designed to maintain seamless connectivity as satellites rapidly move across the sky, frequently requiring users to switch from one satellite or spot beam to another. (3) Poisson point processes (PPP) for modeling stochastic user/base station distributions across space-air-ground integrated networks (SAGIN), enabling interference analysis and resource optimization.

This tutorial focuses on the fundamental principles and practical applications of flight dynamics and automatic control for unmanned air vehicles (UAVs). With increasing reliance on UAVs across fields such as surveillance, logistics, mapping, and defense, a clear understanding of how these systems fly and how they are controlled is very essential. The session begins by exploring the basic forces and moments acting on an aerial vehicle, followed by discussion on equations that describe its motion. Both fixed-wing and rotary-wing UAV are covered as a hybrid configuration. Participants will examine how flight behaviour is influenced by aerodynamic model and control settings. The tutorial then introduces flight control system design, starting with classical methods like proportional, derivative and integral (PID) control, and moving towards more advanced  approaches like Incremental Nonlinear Dynamic Inversion (INDI). Throughout the tutorial, examples and simulations are used to illustrate concepts using MATLAB/Simulink. Common flight phases and challenges, including take off, landing, hovering, waypoint navigation and recovery from disturbances are addressed. Finally, a key highlight of tutorial is the demonstration of UAV flight with an experimental model. Participants will also observe setup of hardware-in-the-loop (HIL) simulations for UAV component testing. By the end of the session, attendees will have a clear foundation in UAV flight behavior and automatic control, enabling them to design and test flight control systems for real or simulated UAV platforms.