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Toward a Solution of the Active Target Defense Differential Game

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Abstract

A novel pursuit-evasion differential game involving three agents is considered. An Attacker missile is pursuing a Target aircraft. The Target aircraft is aided by a Defender missile launched by, say, the wingman, to intercept the Attacker before it reaches the Target aircraft. Thus, a team is formed by the Target and the Defender which cooperate to maximize the separation between the Target aircraft and the point where the Attacker missile is intercepted by the Defender missile, while at the same time the Attacker tries to minimize said distance. A long-range Beyond Visual Range engagement which is in line with current CONcepts of OPeration is envisaged, and it is therefore assumed that the players have simple motion kinematics á la Isaacs. Also, the speed of the Attacker is equal to the speed of the Defender and the latter is interested in point capture. It is also assumed that at all time the Attacker is aware of the Defender’s position, i.e., it is a perfect information game. The analytic/closed-form solution of the target defense pursuit-evasion differential game delineates the state space region where the Attacker can reach the Target without being intercepted by the Defender, thus disposing of the Game of Kind. The target defense Game of Degree is played in the remaining state space. The analytic solution of the Game of Degree yields the agents’ optimal state feedback strategies, that is, the instantaneous heading angles for the Target and the Defender team to maximize the terminal separation between Target and Attacker at the instant of interception of the Attacker by the Defender, and also the instantaneous optimal heading for the Attacker to minimize said separation. Their calculation hinges on the real-time solution of a quartic equation. In this paper we contribute to the solution of a differential game with three states—an additional example to the, admittedly small, repertoire of pursuit-evasion differential games in 3-D which can be solved in closed form.

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Notes

  1. Here, we have used \(\tilde{x}\) to denote the state in the realistic plane. We reserve the use of x (without tilde) to denote the state in the reduced state space.

References

  1. Bakolas E, Tsiotras P (2010) Optimal pursuit of moving targets using dynamic Voronoi diagrams. In: 49th IEEE conference on decision and control, pp 7431–7436

  2. Barron EN, Jensen R (1986) The pontryagin maximum principle from dynamic programming and viscosity solutions to first-order partial differential equations. Trans. Am. Math. Soc. 298(2):635–641

    Article  MathSciNet  MATH  Google Scholar 

  3. Basar T, Olsder GJ (1999) Dynamic noncooperative game theory, vol 23. SIAM, Philadelphia

    MATH  Google Scholar 

  4. Boltyanskii V (1971) Mathematical methods of optimal control. Balskrishnan-Neustadt series. Holt, Rinehart and Winston, New York, p 268

  5. Boyell RL (1976) Defending a moving target against missile or torpedo attack. IEEE Trans. Aerosp. Electron. Syst. AES–12(4):522–526

    Article  Google Scholar 

  6. Boyell RL (1980) Counterweapon aiming for defence of a moving target. IEEE Trans. Aerosp. Electron. Syst. AES–16(3):402–408

    Article  Google Scholar 

  7. Breakwell J, Hagedorn P (1979) Point capture of two evaders in succession. J. Optim. Theory Appl. 27(1):89–97

    Article  MathSciNet  MATH  Google Scholar 

  8. Earl MG, DAndrea R (2007) A decomposition approach to multi-vehicle cooperative control. Robot. Auton. Syst. 55(4):276–291

    Article  Google Scholar 

  9. Fuchs ZE, Khargonekar PP, Evers J (2010) Cooperative defense within a single-pursuer, two-evader pursuit evasion differential game. In: 49th IEEE conference on decision and control, pp 3091–3097

  10. Ganebny SA, Kumkov SS, Le Ménec S, Patsko VS (2012) Model problem in a line with two pursuers and one evader. Dyn. Games Appl. 2(2):228–257

    Article  MathSciNet  MATH  Google Scholar 

  11. Garcia E, Casbeer DW, Pachter M (2015) Cooperative strategies for optimal aircraft defense from an attacking missile. J Guid Control Dyn 38(8):1510–1520

    Article  Google Scholar 

  12. Garcia E, Casbeer DW, Pachter M (2015) Escape regions of the active target defense differential game. In: ASME 2015 dynamic systems and control conference

  13. Garcia E, Casbeer DW, Pachter M (2018) Optimal target capture strategies in the target-attacker-defender differential game. In: American control conference

  14. Garcia E, Casbeer DW, Pham K, Pachter M (2014) Cooperative aircraft defense from an attacking missile. In: 53rd IEEE conference on decision and control, pp. 2926–2931

  15. Garcia E, Casbeer DW, Pham K, Pachter M (2015) Cooperative aircraft defense from an attacking missile using proportional navigation. In: 2015 AIAA guidence, navigation, and control conference

  16. Huang H, Zhang W, Ding J, Stipanovic DM, Tomlin CJ (2011) Guaranteed decentralized pursuit-evasion in the plane with multiple pursuers. In: 50th IEEE conference on decision and control and european control conference, pp. 4835–4840

  17. Isaacs R (1965) Differential games. Wiley, New York

    MATH  Google Scholar 

  18. Lewin J (1994) Differential games: theory and methods for solving game problems with singular surfaces. Springer, London

    Book  Google Scholar 

  19. Liu SY, Zhou Z, Tomlin C, Hedrick K (2013) Evasion as a team against a faster pursuer. In: IEEE american control conference (ACC) 2013, pp 5368–5373

  20. Melikyan AA (1998) Generalized characteristics of first order PDEs. Birkhauser, Boston

    Book  MATH  Google Scholar 

  21. Pachter M, Garcia E, Casbeer DW (2014) Active target defense differential game. In: 52nd annual allerton conference on communication, control, and computing, pp 46–53

  22. Pachter M, Garcia E, Casbeer DW (2017) Differential game of guarding a target. AIAA J Guid Control Dyn 40(11):2991–2998

    Article  Google Scholar 

  23. Perelman A, Shima T, Rusnak I (2011) Cooperative differential games strategies for active aircraft protection from a homing missile. J Guid Control Dyn 34(3):761–773

    Article  Google Scholar 

  24. Pham K (2010) Risk-averse based paradigms for uncertainty forecast and management in differential games of persistent disruptions and denials. In: American control conference, pp 842–849

  25. Pontryagin L, Boltyanskii V, Gamkrelidze R, Mishchenko E (1962) The mathematical theory of optimal processes, 1st edn. John Wiley & Sons Inc, Boca Raton

    Google Scholar 

  26. Prokopov O, Shima T (2013) Linear quadratic optimal cooperative strategies for active aircraft protection. J Guid Control Dyn 36(3):753–764

    Article  Google Scholar 

  27. Ratnoo A, Shima T (2011) Line-of-sight interceptor guidance for defending an aircraft. J Guid Control Dyn 34(2):522–532

    Article  Google Scholar 

  28. Ratnoo A, Shima T (2012) Guidance strategies against defended aerial targets. J Guid Control Dyn 35(4):1059–1068

    Article  Google Scholar 

  29. Rubinsky S, Gutman S (2012) Three body guaranteed pursuit and evasion. In: AIAA guidance, navigation, and control conference, pp 1–24

  30. Rubinsky S, Gutman S (2014) Three-player pursuit and evasion conflict. J Guid Control Dyn 37(1):98–110

    Article  Google Scholar 

  31. Rusnak I (2005) The lady, the bandits, and the bodyguards–a two team dynamic game. In: Proceedings of the 16th world IFAC congress

  32. Rusnak I, Weiss H, Hexner G (2011) Guidance laws in target-missile-defender scenario with an aggressive defender. In: Proceedings of the 18th IFAC world congress, pp 9349–9354

  33. Scott W, Leonard NE (2013) Pursuit, herding and evasion: a three-agent model of caribou predation. In: American control conference, pp 2978–2983

  34. Shaferman V, Shima T (2010) Cooperative multiple-model adaptive guidance for an aircraft defending missile. J Guid Control Dyn 33(6):1801–1813

    Article  Google Scholar 

  35. Shima T (2011) Optimal cooperative pursuit and evasion strategies against a homing missile. J Guid Control Dyn 34(2):414–425

    Article  Google Scholar 

  36. Siouris G (2004) Missile guidance and control systems. Springer, New York

    Google Scholar 

  37. Sprinkle J, Eklund JM, Kim HJ, Sastry S (2004) Encoding aerial pursuit/evasion games with fixed wing aircraft into a nonlinear model predictive tracking controller. In: 43rd IEEE conference on decision and control, pp 2609–2614

  38. Yamasaki T, Balakrishnan SN (2010) Triangle intercept guidance for aerial defense. In: AIAA guidance, navigation, and control conference. American Institute of Aeronautics and Astronautics

  39. Yamasaki T, Balakrishnan SN, Takano H (2013) Modified command to line-of-sight intercept guidance for aircraft defense. J Guid Control Dyn 36(3):898–902

    Article  Google Scholar 

  40. Zarchan P (1997) Tactical and strategic missile guidance, vol 176. AIAA Progress in Aeronautics and Astronautics, Reston, VA

Download references

Acknowledgements

The authors would like to thank the anonymous reviewers and the Associate Editor for all their helpful comments. This is heartfelt: The paper was considerably improved during the review process thanks to the fruitful discussions.

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Correspondence to Eloy Garcia.

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Appendix

Appendix

Root locus analysis of the quartic equation

The problem parameter is \(0\le \alpha \le 1\). When \(\alpha =0\) the four roots of quartic equation (14) are: \(y=y_T\), \(y=y_T\), and \(y=\pm ix_A\), for all \(x_T\in \mathbb {R}^1\). When \(\alpha =1\) we have a quadratic equation whose roots are \(y=\frac{x_Ay_T}{x_A+x_T}\) and \(y=\frac{x_Ay_T}{x_A-x_T}\). If \(x_T=\pm x_A\), then one of the roots is given by \(y=+\infty \). This root takes a finite value as soon as \(\alpha \) decreases, that is, \(y<\infty \) for \(\alpha =1-\epsilon \) for some small \(\epsilon >0\).

When the discriminant of the quartic equation \({\varDelta }<0\), the quartic equation has two real roots and a pair of complex roots. We already know that Eq. (14) has two real roots, \(0<y<y_T\) and \(y>y_T\) as is indeed required by our theory for the case where \(x_T<0\) and \(x_T>0\), respectively. We will investigate quartic equation (14) using the continuation method, starting out from \(\alpha =0\) where we have a double real root \(y=y_T\)—we conduct a root locus investigation for \(0\le \alpha <1\).

To this end, differentiate quartic equation (14) in \(\alpha \)

$$\begin{aligned} \begin{aligned}&\left\{ 2(1-\alpha ^2)y^3 - 3(1-\alpha ^2)y_Ty^2 + \left[ (1-\alpha ^2)y_T^2+x_A^2-\alpha ^2x_T^2 \right] y - x_A^2y_T\right\} \frac{\mathrm{d}y}{\mathrm{d}\alpha } \\&\quad - \alpha \left[ y^4-2y_Ty^3+\left( x_T^2+y_T^2\right) y^2\right] = 0. \end{aligned} \end{aligned}$$
(107)

Setting \(\alpha =0\) and \(y=y_T\), yields the relationship \(0\cdot \frac{\mathrm{d}y}{\mathrm{d}\alpha }=0\) and we cannot calculate \(\frac{\mathrm{d}y}{\mathrm{d}\alpha }\big |_{\alpha =0}\). Hence, differentiate Eq. (107) in \(\alpha \) again and set \(\alpha =0\)

$$\begin{aligned} \begin{aligned}&\left[ 2y^3 - 3y_Ty^2 + \left( y_T^2+x_A^2\right) y - x_A^2y_T \right] \frac{\mathrm{d}^2y}{\mathrm{d}\alpha ^2} + \left( 6y^2 - 6y_Ty + x_A^2 +y_T^2\right) \left( \frac{\mathrm{d}y}{\mathrm{d}\alpha }\right) ^2 \\&\quad - \left[ y^4-2y_Ty^3+\left( x_T^2+y_T^2\right) y^2\right] = 0. \end{aligned} \end{aligned}$$
(108)

Set \(y=y_T\) in Eq. (108)

$$\begin{aligned} 0\cdot \frac{d^2y}{d\alpha ^2} + \left( x_A^2 +y_T^2\right) \left( \frac{\mathrm{d}y}{\mathrm{d}\alpha }\right) ^2 = x_T^2y_T^2 \ \ \Rightarrow \ \ \frac{\mathrm{d}y}{\mathrm{d}\alpha }\big |_{\alpha =0,y=y_T} = \pm \frac{x_Ty_T}{\sqrt{x_A^2+y_T^2}} . \end{aligned}$$
(109)

Also, setting \(\alpha =0\) and \(y=\pm ix_A\) in Eq. (107) yields

$$\begin{aligned} \frac{\mathrm{d}y}{\mathrm{d}\alpha }\big |_{\alpha =0,y=\pm ix_A} = 0 . \end{aligned}$$

Note that setting \(y=\pm ix_A\) in Eq. (108) yields

$$\begin{aligned} \left[ 2x_A^2y_T + \left( y_T^2-x_A^2\right) y\right] \frac{\mathrm{d}^2y}{\mathrm{d}\alpha ^2}=\left( x_A^2-x_T^2-y_T^2+2y_Ty\right) x_A^2 \end{aligned}$$
Fig. 19
figure 19

Root locus of quartic equation (14)

Let \(\frac{\mathrm{d}^2y}{\mathrm{d}\alpha ^2}=a+ib\). We calculate

$$\begin{aligned}&\left[ 2x_A^2y_T + ix_A\left( y_T^2-x_A^2\right) \right] (a+ib)=(x_A^2-x_T^2-y_T^2+2ix_Ay_T)x_A^2 \\&\quad \Rightarrow \ \begin{bmatrix} 2x_Ay_T&x_A^2-y_T^2 \\ -\left( x_A^2-y_T^2\right)&2x_Ay_T \end{bmatrix} \begin{bmatrix} a \\ b \end{bmatrix}=x_A \begin{bmatrix} x_A^2-x_T^2 -y_T^2 \\ 2x_Ay_T \end{bmatrix} \\&\quad \Rightarrow \ \begin{bmatrix} a \\ b \end{bmatrix}= \frac{1}{\left( x_A^2+y_T^2\right) ^2} \begin{bmatrix} 2x_Ay_T&-\left( x_A^2-y_T^2\right) \\ x_A^2-y_T^2&2x_Ay_T \end{bmatrix} \begin{bmatrix} x_A^2-x_T^2 -y_T^2 \\ 2x_Ay_T \end{bmatrix} x_A \\&\quad \Rightarrow \\&\quad \quad \quad a=-2\left( \frac{x_Ax_T}{x_A^2+y_T^2}\right) ^2 y_T <0 \\ \\&\quad \quad \quad b= \frac{\left( x_A^2+y_T^2\right) ^2 - \left( x_A^2-y_T^2\right) x_T^2}{(x_A^2+y_T^2)^2}x_A \end{aligned}$$

Similarly,

$$\begin{aligned}&\left[ 2x_A^2y_T - ix_A\left( y_T^2-x_A^2\right) \right] (a+ib)=\left( x_A^2-x_T^2-y_T^2-2ix_Ay_T\right) x_A^2 \\&\quad \Rightarrow \ \begin{bmatrix} 2x_Ay_T&-\left( x_A^2-y_T^2\right) \\ x_A^2-y_T^2&2x_Ay_T \end{bmatrix}\begin{bmatrix} a \\ b \end{bmatrix}=x_A \begin{bmatrix} x_A^2-x_T^2 -y_T^2 \\ -2x_Ay_T \end{bmatrix} \\&\quad \Rightarrow \\&\quad \quad \quad a=-2\left( \frac{x_Ax_T}{x_A^2+y_T^2}\right) ^2 y_T <0 \ \ \ \text {as before!} \\&\quad \quad \quad b= -\frac{\left( x_A^2+y_T^2\right) ^2 - \left( x_A^2-y_T^2\right) x_T^2}{\left( x_A^2+y_T^2\right) ^2}x_A ; \ \ \ \text {note sign inversion!} \end{aligned}$$

So the two imaginary roots wander as a pair into the LHS of the complex plane, whereas the two real roots split off at \(y=y_T\) and move in opposite direction toward \(\frac{x_Ay_T}{x_A\pm x_T}\). The root locus picture of the roots of quartic equation (14) as a function of the problem parameter \(0\le \alpha <1\) is shown in Fig. 19. Importantly, our quartic Eq. (14) has two complex roots and two real roots \(y_1\ge y_T\) and \(y_2\le y_T\), as required by the theory of the ATDDG.

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Pachter, M., Garcia, E. & Casbeer, D.W. Toward a Solution of the Active Target Defense Differential Game. Dyn Games Appl 9, 165–216 (2019). https://doi.org/10.1007/s13235-018-0250-1

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