Navigation problems of unmanned air vehicles (UAVs) flying in a formation free and an obstacle-laden environment are investigated this brief. When static obstacles popup during the flight, UAVs required to steer around them also avoid collisions between each other. In order achieve these goals, new dual-mode control strategy is proposed: "safe mode" defined as operation obstacle-free "danger activated when there chance collision or path. Safe mode achieves global optimization because...

A novel sliding mode-based impact time and angle guidance law for engaging a modern warfare ship is presented in this paper. In order to satisfy the constraints, line-of-sight rate shaping process introduced. This results tuning parameter that can be used create profile final heading requirements yield acceptable normal acceleration values. track desired presence of uncertainties, robust second-order mode control developed using backstepping concept. Due robustness law, it applied many...

To synthesize fixed-final-time control-constrained optimal controllers for discrete-time nonlinear control-affine systems, a single neural network (NN)-based controller called the Finite-horizon Single Network Adaptive Critic is developed in this paper. Inputs to NN are current system states and time-to-go, outputs costates that used compute feedback control. Control constraints handled through nonquadratic cost function. Convergence proofs of: 1) reinforcement learning-based training method...

A dual neural network architecture for the solution of aircraft control problems is presented. The structure, consisting an action and a critic network, used to approximately solve dynamic programming equations associated with optimal high degree accuracy. Numerical results from applying this methodology optimally longitudinal dynamics are novelty in synthesis controller that it needs no external training inputs; priori knowledge form control. experiments neural-network-based as well other...

A new suboptimal control method is proposed in this study to effectively design an integrated guidance and system for missiles. Optimal formulations allow designers bring together concerns about law performance autopilot responses under one unified framework. They lead a natural integration of these different functions. By modifying the appropriate cost functions, responses, saturations (autopilot related), miss distance (guidance etc., which are primary concern missile designer, can be...

In this paper, a new non-linear control synthesis technique (θ–D approximation) is discussed. This approach achieves suboptimal solutions to class of optimal problems characterized by quadratic cost function and plant model that affine in control. An approximate solution the Hamilton–Jacobi–Bellman (HJB) equation sought adding perturbations function. By manipulating perturbation terms both semi-global asymptotic stability suboptimality properties are obtained. The overcomes...

In this paper, a new nonlinear control method is used to design full-envelope, hybrid bank-to-turn (BTT)/skidto-turn (STT) autopilot for an airbreathing air-to-air missile. Through approach, called the θ − D method, we find approximate solutions Hamilton‐Jacobi Bellman (HJB) equation. As result, resulting feedback law can be expressed in closed form. outer-loop and inner-loop controller structure design. A BTT/STT command logic convert commanded accelerations from guidance laws reference...

In this study, we develop an adaptive-critic-based controller to steer agile missile that has a constraint on the minimum flight Mach number from various initial numbers given final in time while completely reversing its flightpath angle. This class of bounded state space, free problems is very difficult solve due discontinuities costates at boundaries. We use two-neural-network structure called "adaptive critic" study carry out optimization process. obtains optimal through solving...

A guidance scheme has been developed for the terminal of an unpowered lifting reentry vehicle during approach and landing phase. The proposed is quite useful offline trajectory design allows trajectories to be generated online through use a closed-loop control law. In scenarios in which significantly deviated from its nominal upon entry into phase, usefulness such method can clearly realized. These types are interest any vehicle, including space shuttle, since existing approaches phase...

The problem of optimal switching and control systems with nonlinear subsystems is investigated in this paper. An approximate dynamic programming-based algorithm proposed for learning the cost-to-go function based on instants initial conditions. global times every selected condition are directly found through minimization resulting function. Once calculated, same neurocontroller used to provide a feedback form. Proof convergence presented. Two illustrative numerical examples given demonstrate...

In today’s rapidly evolving e-commerce landscape, product prices fluctuate frequently due to various factors such as demand, supply, seller strategies, seasonal sales, and exclusive discounts. Consumers often struggle track these frequent price changes manually, making it difficult determine the best time purchase a product. This project, "Flipkart Price Tracker Using Python," is designed address this issue by automating process of monitoring variations products listed on Flipkart. The...

A new model-following adaptive control design technique for a class of non-affine and non-square nonlinear systems using neural networks is proposed. An appropriate stabilising controller assumed available nominal system model. This may not be able to guarantee stability/satisfactory performance in the presence unmodelled dynamics (neglected algebraic terms mathematical model) and/or parameter uncertainties present In order ensure stable behaviour, an online adaptation procedure The carried...

This paper focuses on missile guidance methods for a defense trying to protect cooperative aircraft from guided munitions which have the same thrust and maneuvering capabilities as that of missile. A novel law missile-to-missile intercept is developed via simple geometrical approach. The potential demonstrated discussed with some simulation results. Performance comparison conventional also presented. Nomenclature C = BM acceleration command normal velocity vector, m/s 2 BA blue (cooperative...

An integrated guidance and autopilot scheme for a path-following uninhabited aerial vehicle is presented in this study. A fixed-wing aircraft usually performs bank-to-turn maneuver to change its flight direction. The novel approach here, however, assumes that each of the three channels can be independently designed. This concept makes design process simple. virtual target moving on prespecified path introduced facilitate algorithm development. first-/second-order sliding structure with...

Tracking control of motion systems typically requires accurate nonlinear friction models, especially at low speeds, and integral action. However, building models is time consuming, characteristics dramatically change over time, special care must be taken to avoid windup in a controller employing In this paper new approach proposed for the optimal tracking with significant disturbances, parameter variations, unmodeled dynamics. The 'desired' signal that will keep nominal system on desired...

Finite-horizon optimal control of input-affine nonlinear systems with fixed final time is considered in this study. It first shown that the associated Hamilton–Jacobi–Bellman partial differential equation to problem reducible a state-dependent Riccati after some approximations. With truncation equation, near solution obtained, and global onvergence properties closed-loop system are analyzed. Afterwards, an approximate method, called State-Dependent Equation (Finite-SDRE), suggested for...

Adaptive critic based neural networks have been found to be powerful tools in solving various optimal control problems. The adaptive approach consists of two which output the values and Lagrangian multipliers associated with control. These are trained successively when outputs mutually consistent satisfy differential constraints, controller network produces In this paper, we analyze mechanics convergence solutions. We establish necessary conditions for solutions converge show that converged...

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> An approximate dynamic programming (ADP)-based suboptimal neurocontroller to obtain desired temperature for a high-speed aerospace vehicle is synthesized in this paper. A 1-D distributed parameter model of fin developed from basic thermal physics principles. "Snapshot" solutions the dynamics are generated with simple inversion-based feedback controller. Empirical basis functions designed using...